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11. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, at an Internet search system, a search query; receiving multiple search results, each of the search results identifying an Internet resource indexed by the search system that satisfies the query; determining that the search query matches a name of a user that submitted the search query; providing, in response to the search query, a ranking of one or more of the search results and a personal knowledge panel comprising one or more items of user-provided information about the user, wherein the personal knowledge panel includes multiple input fields for updating the user-provided information of the knowledge panel; receiving updated user information that was provided using the input fields of the personal knowledge panel; and associating the updated user information with an account of the user. | 11. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, at an Internet search system, a search query; receiving multiple search results, each of the search results identifying an Internet resource indexed by the search system that satisfies the query; determining that the search query matches a name of a user that submitted the search query; providing, in response to the search query, a ranking of one or more of the search results and a personal knowledge panel comprising one or more items of user-provided information about the user, wherein the personal knowledge panel includes multiple input fields for updating the user-provided information of the knowledge panel; receiving updated user information that was provided using the input fields of the personal knowledge panel; and associating the updated user information with an account of the user. 12. The system of claim 11 , wherein the personal knowledge panel allows the user to modify the one or more items of user-provided information without the navigating away from a search results page that includes a presentation of the one or more search results. | 0.702247 |
19. The method of claim 17 , wherein providing the message in the interface includes: providing information in the message indicating that the at least one export format partially supports the additional feature; providing an option in the interface for creating the formatted interactive video to include at least one aspect of the additional feature that is partially supported by the at least one export format; and mapping the at least one aspect of the additional feature to a corresponding feature of the first export format in response to input received to the interface selecting the option. | 19. The method of claim 17 , wherein providing the message in the interface includes: providing information in the message indicating that the at least one export format partially supports the additional feature; providing an option in the interface for creating the formatted interactive video to include at least one aspect of the additional feature that is partially supported by the at least one export format; and mapping the at least one aspect of the additional feature to a corresponding feature of the first export format in response to input received to the interface selecting the option. 20. The method as in claim 19 , wherein mapping the at least one aspect of the additional feature that is partially supported to the corresponding feature of the at least one export format includes: identifying at least one video interface control for the at least one aspect, the at least one video interface control defined in the abstract model; responsive to input received via the interface, disabling a portion of the at least one video interface control that relates to an additional aspect of the additional feature that is not supported by the at least one export format; responsive to additional input received via the interface, redefining the at least one video interface control to be operative with respect the at least one aspect that is partially supported; and including the at least one video interface control in the formatted interactive video. | 0.682099 |
1. A device for manipulating and viewing documents, comprising: a touchscreen display for detecting tactile input and for displaying content in an integrated display of at least a current page of a first document and at least one other page from said first document or from a second document, a processor configured for controlling the displaying of content of at least the current page of the first document and said at least one other page from said first document or from the second document on the touchscreen display according to proportional distance criteria, and wherein the current page and said at least one other page from said first document or from the second document comprise text, image, graphics, or a combination thereof; wherein the current page or said at least one other page from said first document or from the second document is displayed on the touchscreen display in response to a pan command; wherein the pan command causes display according to inertia and velocity sensed by the device. | 1. A device for manipulating and viewing documents, comprising: a touchscreen display for detecting tactile input and for displaying content in an integrated display of at least a current page of a first document and at least one other page from said first document or from a second document, a processor configured for controlling the displaying of content of at least the current page of the first document and said at least one other page from said first document or from the second document on the touchscreen display according to proportional distance criteria, and wherein the current page and said at least one other page from said first document or from the second document comprise text, image, graphics, or a combination thereof; wherein the current page or said at least one other page from said first document or from the second document is displayed on the touchscreen display in response to a pan command; wherein the pan command causes display according to inertia and velocity sensed by the device. 3. The device according to claim 1 , wherein said at least one other page is displayed adjacent the current page as thumbnail images, wherein the thumbnail of the at least one other page decreases in size relative to an increase in distance from the current page. | 0.561591 |
9. The method as recited in claim 5 , further comprising: receiving a selection of one of the multiple keywords and a selection of a representative image; and responsive to the receiving of the selection, refining the request based at least on the selected keyword and the selected representative image. | 9. The method as recited in claim 5 , further comprising: receiving a selection of one of the multiple keywords and a selection of a representative image; and responsive to the receiving of the selection, refining the request based at least on the selected keyword and the selected representative image. 10. The method as recited in claim 9 , the refining the request comprises: determining a similarity between: (i) each of multiple images that are associated with the received query, and (ii) the selected keyword; determining a similarity between: (i) each of the multiple images that are associated with the received query, and (ii) the selected representative image; and ranking the multiple images that are associated with the received query based at least in part on the determined similarities. | 0.901578 |
14. A method as in claim 2 , including steps of in a computer game having at least one decision model, the decision model being capable of generating a response to a query for decision, generating a response to a query for decision including training one or more non-player characters in response to a set of game results, wherein those game results are produced by at least one of one or more non-player characters or at least one of one or more player characters; wherein actions by those one or more non-player characters are responsive for at least one human user, to at least one of: demographic information, player history, player preferences, player skill, player style. | 14. A method as in claim 2 , including steps of in a computer game having at least one decision model, the decision model being capable of generating a response to a query for decision, generating a response to a query for decision including training one or more non-player characters in response to a set of game results, wherein those game results are produced by at least one of one or more non-player characters or at least one of one or more player characters; wherein actions by those one or more non-player characters are responsive for at least one human user, to at least one of: demographic information, player history, player preferences, player skill, player style. 15. A method as in claim 14 , including at least two human users, wherein actions by those one or more non-player characters are responsive for at least one pair of human users, to a comparison or interaction between that at least one pair of human users, of at least one for each human user of: demographic information, player history, player preferences, player skill, player style. | 0.948171 |
9. A software application for gathering and managing patient medical data, comprising: a first module for gathering patient medical information on a handheld computing device, said first module having a plurality of customized template based data entry screens, a means for receiving medical data through remote transmission, a means for receiving customized information, and a means for creating a natural language report and a data point-based searchable database from said medical information, wherein said natural language report has a syntax and a structure; a template manager for creating customized template based data entry screens for use by said first module; wherein the function of said first module is directed by said customized template based data entry screens; and wherein at least one of said customized template based data entry screens allows a user to correlate a set of modifiers with a body part. | 9. A software application for gathering and managing patient medical data, comprising: a first module for gathering patient medical information on a handheld computing device, said first module having a plurality of customized template based data entry screens, a means for receiving medical data through remote transmission, a means for receiving customized information, and a means for creating a natural language report and a data point-based searchable database from said medical information, wherein said natural language report has a syntax and a structure; a template manager for creating customized template based data entry screens for use by said first module; wherein the function of said first module is directed by said customized template based data entry screens; and wherein at least one of said customized template based data entry screens allows a user to correlate a set of modifiers with a body part. 10. The software application according to claim 9 , wherein said template manager additionally comprises a plurality of templates for creating said customized template based data entry screens. | 0.6 |
1. A method, comprising: identifying a first form; creating a second form based on the first form, the first form and the second form being defined in extended markup language (XML), wherein a definition of the second form is provided inheritance from a definition of the first form such that the definition of the second form further includes only the difference between the first form and the second form, which are changes made to the first form; receiving a request for the first form; in response to the receipt of the request for the first form: identifying at least one factor associated with at least one of the request for the first form and a system via which the first form is requested; selecting the second form in response to: identifying at least one rule associated with the second form, the at least one rule predefined by a user; determining at least one factor indicated by the at least one rule; and matching the at least one determined factor indicated by the at least one rule to the at least one identified factor associated with the at least one of the request for the first form and the system via which the first form is requested; and returning the selected second form as a response to the request for the first form. | 1. A method, comprising: identifying a first form; creating a second form based on the first form, the first form and the second form being defined in extended markup language (XML), wherein a definition of the second form is provided inheritance from a definition of the first form such that the definition of the second form further includes only the difference between the first form and the second form, which are changes made to the first form; receiving a request for the first form; in response to the receipt of the request for the first form: identifying at least one factor associated with at least one of the request for the first form and a system via which the first form is requested; selecting the second form in response to: identifying at least one rule associated with the second form, the at least one rule predefined by a user; determining at least one factor indicated by the at least one rule; and matching the at least one determined factor indicated by the at least one rule to the at least one identified factor associated with the at least one of the request for the first form and the system via which the first form is requested; and returning the selected second form as a response to the request for the first form. 17. The method of claim 1 , wherein different predefined criteria are associated with the first form and the second form and are used for determining which of the first form and the second form is to be utilized. | 0.5 |
1. A system for providing an acoustic grammar to dynamically sharpen speech interpretation, wherein the system comprises an electronic device configured to: represent one or more syllables with one or more series that include acoustic elements associated with an acoustic speech model; and construct an acoustic grammar that contains transitions between the acoustic elements in the one or more series associated with the one or more represented syllables, wherein an unstressed central vowel links sequential phonemic elements in the acoustic grammar to reduce the transitions between the acoustic elements. | 1. A system for providing an acoustic grammar to dynamically sharpen speech interpretation, wherein the system comprises an electronic device configured to: represent one or more syllables with one or more series that include acoustic elements associated with an acoustic speech model; and construct an acoustic grammar that contains transitions between the acoustic elements in the one or more series associated with the one or more represented syllables, wherein an unstressed central vowel links sequential phonemic elements in the acoustic grammar to reduce the transitions between the acoustic elements. 2. The system of claim 1 , wherein the electronic device is further configured to constrain the transitions between the acoustic elements using one or more phonotactic rules associated with the acoustic speech model. | 0.674829 |
1. An information retrieval system comprising: a plurality of databases; and a server for providing client access to the plurality of databases, wherein the server includes: database-selection means for enabling a user to select one of a first or a second set of categories, with each of the first set of categories associated with a subset of the plurality of databases and each of the second set of categories associated with a respective set of interactive control features for requesting additional category-specific information from the user; database-navigation means for providing a user-navigable directory of at least a subset of the plurality of databases, with the directory including: one or more beginning, intermediate, and terminal nodes, with each intermediate node associated with at least one of the beginning nodes and one or more of the terminal nodes, and each terminal node associated with a subset of the plurality of databases or a subset of corresponding database profiles; and one or more sets of interactive control features, with each set of control features associated with a corresponding one of the intermediate nodes for enabling the user to query a set of databases including databases associated with each terminal node that is associated with the one of the intermediate nodes; and database-discovery means for receiving a user-defined query, for executing the received query against a profile database including profiles of one or more of the plurality of databases, and for identifying one or more databases from the plurality of databases based on computed relevance of the corresponding profiles to the received query and according to a ranking of the profiles having the corresponding computed relevance based on a jurisdictional lexical analysis, wherein the query includes a plurality of terms, wherein the computed relevance includes a bias based on geographic, jurisdictional, or generic terms in the query. | 1. An information retrieval system comprising: a plurality of databases; and a server for providing client access to the plurality of databases, wherein the server includes: database-selection means for enabling a user to select one of a first or a second set of categories, with each of the first set of categories associated with a subset of the plurality of databases and each of the second set of categories associated with a respective set of interactive control features for requesting additional category-specific information from the user; database-navigation means for providing a user-navigable directory of at least a subset of the plurality of databases, with the directory including: one or more beginning, intermediate, and terminal nodes, with each intermediate node associated with at least one of the beginning nodes and one or more of the terminal nodes, and each terminal node associated with a subset of the plurality of databases or a subset of corresponding database profiles; and one or more sets of interactive control features, with each set of control features associated with a corresponding one of the intermediate nodes for enabling the user to query a set of databases including databases associated with each terminal node that is associated with the one of the intermediate nodes; and database-discovery means for receiving a user-defined query, for executing the received query against a profile database including profiles of one or more of the plurality of databases, and for identifying one or more databases from the plurality of databases based on computed relevance of the corresponding profiles to the received query and according to a ranking of the profiles having the corresponding computed relevance based on a jurisdictional lexical analysis, wherein the query includes a plurality of terms, wherein the computed relevance includes a bias based on geographic, jurisdictional, or generic terms in the query. 2. The system of claim 1 , further comprising at least one access device coupled to the server, the one access device including a browser for facilitating user interaction with the database-selection means, the database-navigation means, or the database-discovery means. | 0.57649 |
11. The method of claim 1 , wherein the electromagnetic field equations are solved for electromagnetic field component values using an assumed resistivity model of the subsurface region and space above it, comparing the calculated values of field components to measured values, adjusting the model's resistivity values to compensate for any differences, and repeating the process until agreement is obtained within a predetermined criterion. | 11. The method of claim 1 , wherein the electromagnetic field equations are solved for electromagnetic field component values using an assumed resistivity model of the subsurface region and space above it, comparing the calculated values of field components to measured values, adjusting the model's resistivity values to compensate for any differences, and repeating the process until agreement is obtained within a predetermined criterion. 12. The method of claim 11 , wherein the model is isotropic, i.e., resistivity independent of current flow direction, and the model is run twice each iteration, once assuming only horizontal resistivity, i.e., vertical resistivity=0, and once assuming only vertical resistivity, i.e., horizontal resistivity=0. | 0.803829 |
1. A real-time virtual machine method (RTVMM) for implementing real-time systems and activities, the RTVMM comprising the steps: implementing an O-OPL program that can run on computer systems of different designs, an O-OPL program being based on an object-oriented programming language (O-OPL) comprising object type declarations called classes, each class definition describing the variables that are associated with each object of the corresponding class and all of the operations called methods that can be applied to instantiated objects of the specified type, a "method" being a term of art describing the unit of procedural abstraction in an object-oriented programming system, an O-OPL program comprising one or more threads wherein the run-time stack for each thread is organized so as to allow accurate identification of type-tagged pointers contained on the stack without requiring type tag information to be updated each time the stack's content changes, the O-OPL being an extension of a high-level language (HLL) exemplified by Java, HLL being an extension of a low-level language (LLL) exemplified by C and C++, a thread being a term of art for an independently-executing task, an O-OPL program being represented at run time by either O-OPL byte codes or by native machine codes. | 1. A real-time virtual machine method (RTVMM) for implementing real-time systems and activities, the RTVMM comprising the steps: implementing an O-OPL program that can run on computer systems of different designs, an O-OPL program being based on an object-oriented programming language (O-OPL) comprising object type declarations called classes, each class definition describing the variables that are associated with each object of the corresponding class and all of the operations called methods that can be applied to instantiated objects of the specified type, a "method" being a term of art describing the unit of procedural abstraction in an object-oriented programming system, an O-OPL program comprising one or more threads wherein the run-time stack for each thread is organized so as to allow accurate identification of type-tagged pointers contained on the stack without requiring type tag information to be updated each time the stack's content changes, the O-OPL being an extension of a high-level language (HLL) exemplified by Java, HLL being an extension of a low-level language (LLL) exemplified by C and C++, a thread being a term of art for an independently-executing task, an O-OPL program being represented at run time by either O-OPL byte codes or by native machine codes. 83. The RTVMM of claim 1 wherein the implementing step comprises the steps: creating a thread called a thread dispatcher; creating a watchdog thread that sends an interrupt to the thread dispatcher when a thread that is scheduled for execution blocks, the thread dispatcher then scheduling another thread for execution. | 0.691904 |
21. A compressed voice communication system, comprising: at least one customer premise device connected to a first device for compressing and transmitting speech; at least one other customer premise device connected to a second device for compressing and transmitting speech; a transmission media connecting said first and second devices for compressing and transmitting speech for transmitting signals therebetween; each of said first and second devices for compressing and transmitting speech, comprising: means for receiving speech from said at least one customer premise device; a speech profile defining coefficients of speech for an individual in a mathematical model; means for detecting changes in the individual's speech, said changes being defined by at least one of said coefficients of speech; means for converting said speech to text which operates in response to said means for detecting to add hypertext characters to said text indicative of said detected changes; means for transmitting said text over said transmission media; means for converting text received from said transmission media to speech; and means for delivering speech to said at least one customer premise device. | 21. A compressed voice communication system, comprising: at least one customer premise device connected to a first device for compressing and transmitting speech; at least one other customer premise device connected to a second device for compressing and transmitting speech; a transmission media connecting said first and second devices for compressing and transmitting speech for transmitting signals therebetween; each of said first and second devices for compressing and transmitting speech, comprising: means for receiving speech from said at least one customer premise device; a speech profile defining coefficients of speech for an individual in a mathematical model; means for detecting changes in the individual's speech, said changes being defined by at least one of said coefficients of speech; means for converting said speech to text which operates in response to said means for detecting to add hypertext characters to said text indicative of said detected changes; means for transmitting said text over said transmission media; means for converting text received from said transmission media to speech; and means for delivering speech to said at least one customer premise device. 22. The system according to claim 21, wherein said transmission media includes a satellite system. | 0.629934 |
1. A computer-implemented method performed by a data processing apparatus, the method comprising: accessing command input logs storing data defining user device sessions; identifying, from the command input logs, user device sessions that each respectively store: a sequence of two or more command inputs, each command input specifying one or more parameter values, and each command input having a respective ordinal position in the sequence, and wherein the sequence includes at least one pair of a first command input that precedes a second command input in ordinal position in the sequence; first operation data indicating a first operation performed on data from a first resource property in response to the first command input; second operation data indicating a second operation performed on data from a second resource property in response to the second command input; identifying pairs of first and second command inputs from respective user device sessions for which the first and second operation data are indicative of a first operation failure and a second operation success; and determining, from the identified pairs of first and second command inputs, command inputs for which a parsing rule that is associated with the second operation is to be generated. | 1. A computer-implemented method performed by a data processing apparatus, the method comprising: accessing command input logs storing data defining user device sessions; identifying, from the command input logs, user device sessions that each respectively store: a sequence of two or more command inputs, each command input specifying one or more parameter values, and each command input having a respective ordinal position in the sequence, and wherein the sequence includes at least one pair of a first command input that precedes a second command input in ordinal position in the sequence; first operation data indicating a first operation performed on data from a first resource property in response to the first command input; second operation data indicating a second operation performed on data from a second resource property in response to the second command input; identifying pairs of first and second command inputs from respective user device sessions for which the first and second operation data are indicative of a first operation failure and a second operation success; and determining, from the identified pairs of first and second command inputs, command inputs for which a parsing rule that is associated with the second operation is to be generated. 6. The computer-implemented method of claim 1 , wherein determining command inputs for which a parsing rule that is associated with the second operation is to be generated comprises determining a parsing rule that is associated with the second operation is to be generated from the first command inputs of the identified pairs of first and second command inputs. | 0.679662 |
11. A set of middleware components, as executed by at least one processor in a computer system having a high performance computing (HPC) platform, wherein said set of middleware components provides a capability for inputting to the high performance computing platform a synchronization and a scheduling of individual data transfer and computing tasks on the high performance computing platform, said set of middleware components further comprising: a job scheduler that receives said job submission description file, wherein the job submission description file comprises an XML (Extensible Markup Language)-based job submission description file, that encodes various steps in an application workflow, based on extending a JSDL (job submission description language) schema; an application programming interface for submitting the job submission description file to the set of middleware components via a web services interface, said set of middleware component comprising a data-staging gateway component which automates a data extraction and migration for an HPC application from remote data sources, wherein the remote data sources selectively include any of Structured Query Language (SQL) databases, spreadsheets, and flat files, using specifications in a job submission description file, and said remote data sources comprising data sources at locations accessible via a network with access latency times longer than an access latency of data within a local area network of said HPC platform. | 11. A set of middleware components, as executed by at least one processor in a computer system having a high performance computing (HPC) platform, wherein said set of middleware components provides a capability for inputting to the high performance computing platform a synchronization and a scheduling of individual data transfer and computing tasks on the high performance computing platform, said set of middleware components further comprising: a job scheduler that receives said job submission description file, wherein the job submission description file comprises an XML (Extensible Markup Language)-based job submission description file, that encodes various steps in an application workflow, based on extending a JSDL (job submission description language) schema; an application programming interface for submitting the job submission description file to the set of middleware components via a web services interface, said set of middleware component comprising a data-staging gateway component which automates a data extraction and migration for an HPC application from remote data sources, wherein the remote data sources selectively include any of Structured Query Language (SQL) databases, spreadsheets, and flat files, using specifications in a job submission description file, and said remote data sources comprising data sources at locations accessible via a network with access latency times longer than an access latency of data within a local area network of said HPC platform. 12. The set of middleware components of claim 11 , wherein the set of middleware components further comprises a job-dispatcher which invokes a computation job on the high performance computing platform, in coordination with the data-staging gateway, using the specifications in the job submission description file. | 0.559204 |
8. A method for securely providing access to a content file, the method comprising the steps of: (a) requesting, by a user via a client device, access to a content file; (b) filtering, by a filtering mechanism, the request by applying pre-determined rules; (c) creating, by a transport mechanism executing on the client device, a document container on the client device; (d) receiving, by the document container from a server, the content file following said filtering; (e) storing, by a storage buffer on the client device, the received content file in a volatile memory element; (f) invoking, by the document container, an application program associated with the content file, the application program providing a set of menu commands for interacting with the application program; and (g) generating, by the document container, a replacement set of menu commands comprising a subset of the set of menu commands provided by the application program. | 8. A method for securely providing access to a content file, the method comprising the steps of: (a) requesting, by a user via a client device, access to a content file; (b) filtering, by a filtering mechanism, the request by applying pre-determined rules; (c) creating, by a transport mechanism executing on the client device, a document container on the client device; (d) receiving, by the document container from a server, the content file following said filtering; (e) storing, by a storage buffer on the client device, the received content file in a volatile memory element; (f) invoking, by the document container, an application program associated with the content file, the application program providing a set of menu commands for interacting with the application program; and (g) generating, by the document container, a replacement set of menu commands comprising a subset of the set of menu commands provided by the application program. 13. The method of claim 8 further comprising modifying said request based on said rules. | 0.62588 |
1. A method for enhancing the accuracy performance of authentication systems comprising: determining, by a processor, at least one enrollment phrase from an enrollment phrase registry and at least one new verification phrase for a desired transaction, the at least one enrollment phrase being an authentication data requirement; capturing, by the processor, authentication data in accordance with the authentication data requirement and biometric data for the at least one new verification phrase from the user; and adding, by the processor, the at least one new verification phrase to the enrollment phrase registry after successfully authenticating the user. | 1. A method for enhancing the accuracy performance of authentication systems comprising: determining, by a processor, at least one enrollment phrase from an enrollment phrase registry and at least one new verification phrase for a desired transaction, the at least one enrollment phrase being an authentication data requirement; capturing, by the processor, authentication data in accordance with the authentication data requirement and biometric data for the at least one new verification phrase from the user; and adding, by the processor, the at least one new verification phrase to the enrollment phrase registry after successfully authenticating the user. 2. A method in accordance with claim 1 , further comprising determining that the biometric data captured for the at least one new verification phrase corresponds to the determined at least one new verification phrase. | 0.867397 |
1. A computer-implemented method for creating a graph, comprising: providing, using one or more data processors, a variable selection region including a variable for display; providing, using the one or more data processors, a graph creation region that includes a plurality of graph components for display, wherein at least one graph component is an axis; defining, using the one or more data processors, one or more hotspots on the graph creation region, wherein a hotspot covers a portion of the graph creation region; associating, using the one or more data processors, a hotspot with a graph component, wherein the hotspot is used to generate an association between the graph component and a variable; generating, using the one or more data processors, an association between a variable and the graph component when a particular variable from the variable selection region is dragged onto the hotspot associated with the graph component; updating, using the one or more data processors, the graph creation region using the association, wherein the updated graph creation region displays a preview of the association between the particular variable and the graph component; confirming, using the one or more data processors, the association between the particular variable and the graph component displayed in the preview, wherein the association is confirmed when the particular variable is dropped onto the hotspot associated with the graph component; and using, using the one or more data processors, the confirmed association to redefine the one or more hotspots to include additional available hotspots on the graph creation region. | 1. A computer-implemented method for creating a graph, comprising: providing, using one or more data processors, a variable selection region including a variable for display; providing, using the one or more data processors, a graph creation region that includes a plurality of graph components for display, wherein at least one graph component is an axis; defining, using the one or more data processors, one or more hotspots on the graph creation region, wherein a hotspot covers a portion of the graph creation region; associating, using the one or more data processors, a hotspot with a graph component, wherein the hotspot is used to generate an association between the graph component and a variable; generating, using the one or more data processors, an association between a variable and the graph component when a particular variable from the variable selection region is dragged onto the hotspot associated with the graph component; updating, using the one or more data processors, the graph creation region using the association, wherein the updated graph creation region displays a preview of the association between the particular variable and the graph component; confirming, using the one or more data processors, the association between the particular variable and the graph component displayed in the preview, wherein the association is confirmed when the particular variable is dropped onto the hotspot associated with the graph component; and using, using the one or more data processors, the confirmed association to redefine the one or more hotspots to include additional available hotspots on the graph creation region. 14. The method of claim 1 , wherein generating the association uses an association data structure. | 0.544395 |
4. The non-transitory computer-readable storage medium of claim 1 , wherein the mapping is defined by a mapping between a community role map object and a community role object. | 4. The non-transitory computer-readable storage medium of claim 1 , wherein the mapping is defined by a mapping between a community role map object and a community role object. 6. The non-transitory computer-readable storage medium of claim 4 , wherein the community role map object further defines the business component corresponding to the named permission set. | 0.917904 |
16. A tangible computer-readable memory device storing instructions that, when executed on a processor of a computing device having a sensor, cause the computing device to perform actions associated with gestures performed by a user, by: transitioning to a training mode upon receiving. from the user, a training start request; during the training mode: while the user performs the gesture, monitoring the sensor to detect an identified sensor output identifying the gesture during a training period between the training start request and the training completion request; identifying, during the training, period, a restricted period that is shorter than the training period and during which the identified sensor output identifies the gesture; associating with the gesture the identified sensor output of the sensor during the restricted period; and associating an action with the gesture; transitioning to a recognition mode upon receiving, from the user, a training completion request; and during the recognition mode: monitoring the sensor output of the sensor; and upon detecting that the sensor output matches the identified sensor output associated with the gesture, performing the action associated with the gesture. | 16. A tangible computer-readable memory device storing instructions that, when executed on a processor of a computing device having a sensor, cause the computing device to perform actions associated with gestures performed by a user, by: transitioning to a training mode upon receiving. from the user, a training start request; during the training mode: while the user performs the gesture, monitoring the sensor to detect an identified sensor output identifying the gesture during a training period between the training start request and the training completion request; identifying, during the training, period, a restricted period that is shorter than the training period and during which the identified sensor output identifies the gesture; associating with the gesture the identified sensor output of the sensor during the restricted period; and associating an action with the gesture; transitioning to a recognition mode upon receiving, from the user, a training completion request; and during the recognition mode: monitoring the sensor output of the sensor; and upon detecting that the sensor output matches the identified sensor output associated with the gesture, performing the action associated with the gesture. 18. The tangible computer-readable memory device of claim 16 , wherein executing the instructions on the processor further causes the computing device to retrieve a gesture profile from a gesture profile service, the gesture profile comprising at least one association of a gesture with an identified sensor output of a sensor and an action. | 0.602387 |
23. The method of claim 21 , the popularity information comprising a relative popularity score. | 23. The method of claim 21 , the popularity information comprising a relative popularity score. 27. The method of claim 23 , the relative popularity score reflecting a difference in the revenues from sales of the particular thing as measured over a first period of time compared to a revenues from sales of the particular thing as measured over a second period of time. | 0.950737 |
18. A method of decoding, comprising: receiving n-bit code words, where n is an integer; and converting the n-bit code words into m-bit information words based on a code conversion table including a plurality of coding states, where m is an integer less than n, wherein the n-bit code words are divided into coding states of a first kind and a second kind, the coding states of the first and second kinds forming a code conversion table, and a number of coding states of the first kind is greater than a number of coding states of the second kind, wherein each coding state includes at least two code words of a same value representing information words of a different value, and wherein a minimum number of zeros between consecutive ones in the n-bit code words is 1. | 18. A method of decoding, comprising: receiving n-bit code words, where n is an integer; and converting the n-bit code words into m-bit information words based on a code conversion table including a plurality of coding states, where m is an integer less than n, wherein the n-bit code words are divided into coding states of a first kind and a second kind, the coding states of the first and second kinds forming a code conversion table, and a number of coding states of the first kind is greater than a number of coding states of the second kind, wherein each coding state includes at least two code words of a same value representing information words of a different value, and wherein a minimum number of zeros between consecutive ones in the n-bit code words is 1. 20. The method of claim 18 , further comprising: reproducing a modulated signal from a recording medium; and demodulating the modulated signal into at least the m-bit information words. | 0.543431 |
11. An apparatus for synchronising a device with an audio signal having encoded pairs of code words embedded separately therein, each pair of code words including an ID code word and a synchronisation code word, the method comprising: a receiver configured to receive the audio signal with the encoded pairs of code words; and a synchronisation controller configured to synchronise the device with the received audio signal by detecting: i) an ID code word and a synchronisation code word from one pair of code words; or ii) an ID code word from one pair of code words and a synchronisation code word from another pair of code words; an ID code word processing module that uses a detected ID code word to retrieve timing information relating to an expected time for detected synchronisation code words; and wherein the synchronisation controller is arranged to determine means for determining a difference in time between an expected time for a detected synchronisation code word and an actual time of the detected synchronisation code word and to use the determined difference to synchronise the user device to the audio signal. | 11. An apparatus for synchronising a device with an audio signal having encoded pairs of code words embedded separately therein, each pair of code words including an ID code word and a synchronisation code word, the method comprising: a receiver configured to receive the audio signal with the encoded pairs of code words; and a synchronisation controller configured to synchronise the device with the received audio signal by detecting: i) an ID code word and a synchronisation code word from one pair of code words; or ii) an ID code word from one pair of code words and a synchronisation code word from another pair of code words; an ID code word processing module that uses a detected ID code word to retrieve timing information relating to an expected time for detected synchronisation code words; and wherein the synchronisation controller is arranged to determine means for determining a difference in time between an expected time for a detected synchronisation code word and an actual time of the detected synchronisation code word and to use the determined difference to synchronise the user device to the audio signal. 15. An apparatus according to claim 11 , comprising a code word extracting module that uses a first decoding technique to decode the encoded code words in the received audio signal before synchronisation and that uses a second decoding technique to decode the encoded code words after synchronisation. | 0.521073 |
4. The print controller of claim 1 wherein: the reprogrammable PDL processor comprises a PostScript interpreter that defines a function of a showpage operator. | 4. The print controller of claim 1 wherein: the reprogrammable PDL processor comprises a PostScript interpreter that defines a function of a showpage operator. 5. The print controller of claim 4 wherein: the print controller is configured to print a plurality of the logical pages of a PostScript printable file after the job ticket interpreter re-defines the function of the showpage operator and before any further reference to the job ticket. | 0.867224 |
12. A system for determining an in context exact (ICE) match from context matching levels of a plurality of translation memory source texts stored in a translation memory to a lookup segment to be translated, the system comprising: means for assigning a usage context hash code to the lookup segment and an asset hash code to the lookup segment; means for determining any exact matches for the lookup segment and the plurality of translation memory source texts; means for calculating for each exact match a context matching level based on: a match between the usage context hash code for the lookup segment and a usage context hash code assigned to a segment of a translation memory source text, and a match between the asset hash code for the lookup segment and an asset context hash code assigned to the segment of the translation memory source text; and means for determining, if the translation memory source text providing the exact match is an ICE match for the lookup segment based on the calculated context matching level. | 12. A system for determining an in context exact (ICE) match from context matching levels of a plurality of translation memory source texts stored in a translation memory to a lookup segment to be translated, the system comprising: means for assigning a usage context hash code to the lookup segment and an asset hash code to the lookup segment; means for determining any exact matches for the lookup segment and the plurality of translation memory source texts; means for calculating for each exact match a context matching level based on: a match between the usage context hash code for the lookup segment and a usage context hash code assigned to a segment of a translation memory source text, and a match between the asset hash code for the lookup segment and an asset context hash code assigned to the segment of the translation memory source text; and means for determining, if the translation memory source text providing the exact match is an ICE match for the lookup segment based on the calculated context matching level. 13. The system of claim 12 , wherein the translation memory source text providing the exact match includes at least two assigned context hash codes. | 0.590315 |
22. The computer readable media of claim 21 , wherein the font is selected through interactions with an editor. | 22. The computer readable media of claim 21 , wherein the font is selected through interactions with an editor. 23. The computer readable media of claim 22 , wherein a portion of the editor is executed by the computing device. | 0.944115 |
1. A computer-readable medium having instructions stored thereon that, when executed by a computer, cause the computer to: open a short message service (SMS) menu selected by a user of a first telecommunications terminal; activate an interactive voice response (IVR) option selected from the SMS menu, wherein an IVR system prompts the user to supply spoken input, the spoken input comprising a spoken message; translate the spoken message to a text message; and transmit the text message to a second telecommunications terminal over a telecommunications network. | 1. A computer-readable medium having instructions stored thereon that, when executed by a computer, cause the computer to: open a short message service (SMS) menu selected by a user of a first telecommunications terminal; activate an interactive voice response (IVR) option selected from the SMS menu, wherein an IVR system prompts the user to supply spoken input, the spoken input comprising a spoken message; translate the spoken message to a text message; and transmit the text message to a second telecommunications terminal over a telecommunications network. 14. The computer-readable medium of claim 1 , further comprising instructions that, when executed by the computer, cause the computer to speak the text message in response to selection of a text-to-speech feature by a user of the second telecommunications terminal. | 0.559859 |
12. A method of producing an audio signal as a replacement for a pre-recorded audio signal synchronized with a pre-recorded video signal, the method comprising the steps of: populating a database in a non-transitory computer readable medium with data representing the pre-recorded audio signal synchronized with the pre-recorded video signal, and data indicative of the timing of the pre-recorded audio signal relative to the pre-recorded video signal; receiving and storing in the non-transitory computer readable medium an input audio signal having timing similar to that of the pre-recorded audio signal; providing first feature data that is derived from the pre-recorded audio signal and encodes audible time-varying acoustic features of a predetermined type and the timing thereof within the pre-recorded audio signal; providing second feature data that is derived from the input audio signal and encodes audible time-varying acoustic features of the predetermined type and the timing thereof within the input audio signal; determining timing differences existing between the first feature data and the second feature data; altering the timing of the acoustic features of the stored input audio signal to match the timing of the corresponding acoustic features of the pre-recorded audio signal to produce thereby an edited replacement audio signal; and selecting a start time for starting outputting of the edited replacement audio signal to coincide with a corresponding start time of the pre-recorded audio signal relative to the pre-recorded video signal and for starting muting of the pre-recorded audio signal. | 12. A method of producing an audio signal as a replacement for a pre-recorded audio signal synchronized with a pre-recorded video signal, the method comprising the steps of: populating a database in a non-transitory computer readable medium with data representing the pre-recorded audio signal synchronized with the pre-recorded video signal, and data indicative of the timing of the pre-recorded audio signal relative to the pre-recorded video signal; receiving and storing in the non-transitory computer readable medium an input audio signal having timing similar to that of the pre-recorded audio signal; providing first feature data that is derived from the pre-recorded audio signal and encodes audible time-varying acoustic features of a predetermined type and the timing thereof within the pre-recorded audio signal; providing second feature data that is derived from the input audio signal and encodes audible time-varying acoustic features of the predetermined type and the timing thereof within the input audio signal; determining timing differences existing between the first feature data and the second feature data; altering the timing of the acoustic features of the stored input audio signal to match the timing of the corresponding acoustic features of the pre-recorded audio signal to produce thereby an edited replacement audio signal; and selecting a start time for starting outputting of the edited replacement audio signal to coincide with a corresponding start time of the pre-recorded audio signal relative to the pre-recorded video signal and for starting muting of the pre-recorded audio signal. 13. A method according to claim 12 , wherein said step of populating a database with data includes storing in the database the first feature data, and said step of determining timing differences includes retrieving the first feature data from the database. | 0.7362 |
1. A computer-implemented method comprising: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list. | 1. A computer-implemented method comprising: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list. 2. The method of claim 1 , wherein the predetermined collection comprises names of individuals. | 0.560976 |
5. A translating apparatus of an image forming system, comprising: a translating unit of the image forming system for translating document data of a document into another language; an output unit for outputting the translated document data translated by said translating unit; a mode setting unit for setting the translating apparatus in a prescribed mode; and a controller of the image forming system; wherein, in a case where the prescribed mode is set and the document data of the document includes a plurality of different languages, said controller controls said translating unit so as to translate the document data into at least one language, and controls said output unit so as to output the translated document data and the original language by groups, each group of the translated document data and the original language comprising a printed document in one of the original languages and printed documents of the translated document data translated in each of the plurality of languages with each of the printed documents being distinct from one another. | 5. A translating apparatus of an image forming system, comprising: a translating unit of the image forming system for translating document data of a document into another language; an output unit for outputting the translated document data translated by said translating unit; a mode setting unit for setting the translating apparatus in a prescribed mode; and a controller of the image forming system; wherein, in a case where the prescribed mode is set and the document data of the document includes a plurality of different languages, said controller controls said translating unit so as to translate the document data into at least one language, and controls said output unit so as to output the translated document data and the original language by groups, each group of the translated document data and the original language comprising a printed document in one of the original languages and printed documents of the translated document data translated in each of the plurality of languages with each of the printed documents being distinct from one another. 6. The translating apparatus as recited in claim 5 , wherein said output unit includes a printing device for printing the translated document data on a sheet. | 0.70742 |
3. The voice synthesizing method according to claim 1 , wherein the first synthesizing step and the second synthesizing step are performed with using synthesis information including phoneme sequence information representative of the phoneme sequence of the voice to be synthesized and pitch information representative of a pitch; wherein the user manipulates the input device to provide an instruction to start utterance of the first voice synthesized with using the synthesis information, and through the manipulation the user can specify the pitch of the first voice; wherein the first utterance control information includes the pitch information representing the pitch specified through the manipulation on the input device; and wherein in the first synthesizing step, the first voice is synthesized with using the pitch information included in the first utterance control information. | 3. The voice synthesizing method according to claim 1 , wherein the first synthesizing step and the second synthesizing step are performed with using synthesis information including phoneme sequence information representative of the phoneme sequence of the voice to be synthesized and pitch information representative of a pitch; wherein the user manipulates the input device to provide an instruction to start utterance of the first voice synthesized with using the synthesis information, and through the manipulation the user can specify the pitch of the first voice; wherein the first utterance control information includes the pitch information representing the pitch specified through the manipulation on the input device; and wherein in the first synthesizing step, the first voice is synthesized with using the pitch information included in the first utterance control information. 5. The voice synthesizing method according to claim 3 , wherein when successively receiving a plurality of pieces of second utterance control information each including information representative of a different velocity or volume, the second voice is synthesized with using the information included in one piece selected from among the plurality of pieces of second utterance control information. | 0.724723 |
1. A method performed by data processing apparatus, the method comprising: receiving, by a server system that provides an automated speech recognition service over a computer network, audio data for an utterance detected by a client device in communication with the server system over the computer network; accessing, by the server system, association data that indicates a plurality of associations, each association indicating (i) uncorrupted audio data indicating characteristics of an uncorrupted audio segment, and (ii) a corresponding key based on a corrupted version of the same uncorrupted audio segment, the associations being determined before receiving the audio data for the utterance; selecting, by the server system, uncorrupted audio data based on a comparison of (i) one or more keys based on the audio data for the utterance, with (ii) the keys based on the corrupted audio data; constructing, by the server system, a representation of the utterance comprising the selected uncorrupted audio data; and performing, by the server system, speech recognition on the constructed representation of the utterance to determine a transcription of the utterance. | 1. A method performed by data processing apparatus, the method comprising: receiving, by a server system that provides an automated speech recognition service over a computer network, audio data for an utterance detected by a client device in communication with the server system over the computer network; accessing, by the server system, association data that indicates a plurality of associations, each association indicating (i) uncorrupted audio data indicating characteristics of an uncorrupted audio segment, and (ii) a corresponding key based on a corrupted version of the same uncorrupted audio segment, the associations being determined before receiving the audio data for the utterance; selecting, by the server system, uncorrupted audio data based on a comparison of (i) one or more keys based on the audio data for the utterance, with (ii) the keys based on the corrupted audio data; constructing, by the server system, a representation of the utterance comprising the selected uncorrupted audio data; and performing, by the server system, speech recognition on the constructed representation of the utterance to determine a transcription of the utterance. 10. The method of claim 1 , wherein generating the constructed representation comprises generating, as the constructed representation, a series of feature vectors that represents the utterance. | 0.905273 |
36. The computer-readable medium of claim 30 , wherein the one or more prompts comprise a voice recognition instruction, the method further comprising: instructing the media communications server to play the voice recognition instruction; and receiving a voice recognition result. | 36. The computer-readable medium of claim 30 , wherein the one or more prompts comprise a voice recognition instruction, the method further comprising: instructing the media communications server to play the voice recognition instruction; and receiving a voice recognition result. 37. The computer-readable medium of claim 36 , the method further comprising: sending a grammar list to the media communications server. | 0.832529 |
11. An article comprising a storage storing instructions that enable a processor-based system to: receive a file including characters; convert the characters of the file to a first code format having a double-byte length if the characters are of a first type; convert the characters of said file to a second code format having a multiple double-byte length if said characters are of a second type; and display the characters of the file using the first code format or the second code format. | 11. An article comprising a storage storing instructions that enable a processor-based system to: receive a file including characters; convert the characters of the file to a first code format having a double-byte length if the characters are of a first type; convert the characters of said file to a second code format having a multiple double-byte length if said characters are of a second type; and display the characters of the file using the first code format or the second code format. 18. The article of claim 11 , further storing instructions that enable the processor-based system to convert the characters to the first code format or the second code format before parsing a web page including the characters. | 0.502377 |
1. A bone anchor assembly comprising: an anchor body with an anchor; an anchor head including a stirrup including a yoke extending from the anchor body and a shaft spanning the yoke; a saddle mounting element located about said shaft; a saddle adapted to hold a member; which saddle includes a port that is received about said saddle mounting element and a saddle capture opening adapted to receive the member; a lower compression element located in said saddle above said saddle mounting element and adapted to capture the member relative to said saddle capture opening; and a set screw that can be received in said saddle to lock the member against said lower compression element against said saddle mounting element. | 1. A bone anchor assembly comprising: an anchor body with an anchor; an anchor head including a stirrup including a yoke extending from the anchor body and a shaft spanning the yoke; a saddle mounting element located about said shaft; a saddle adapted to hold a member; which saddle includes a port that is received about said saddle mounting element and a saddle capture opening adapted to receive the member; a lower compression element located in said saddle above said saddle mounting element and adapted to capture the member relative to said saddle capture opening; and a set screw that can be received in said saddle to lock the member against said lower compression element against said saddle mounting element. 4. The anchor assembly of claim 1 wherein said saddle is reinforced about said saddle capture opening so as to prevent splaying of said saddle. | 0.704762 |
8. A computing device, comprising: a natural language user interface configured to receive a natural language input, wherein the natural language input is visual input or audio input; a pre-processor configured to: map the natural language input to at least one of a plurality of input nodes or map the natural language input to a new input node, the new input node being created by the pre-processor and included in the plurality of input nodes; a memory storing: a semantic network, wherein the semantic network comprises: the plurality of input nodes, wherein at least one of the plurality of input nodes has polysemy; a plurality of candidate nodes associated with a plurality of candidate meanings for the at least one of the input nodes having polysemy; a natural language context including a plurality of context nodes; and a plurality of semantic links, wherein at least one of the plurality of semantic links traverses from at least one of the plurality of candidate nodes to at least one of the plurality of context nodes; and a natural language processing unit communicatively coupled to the memory and configured to: compute a plurality of contextual distances for the plurality of semantic links; compare two or more of the plurality of contextual distances to determine a contextual distance for the at least one of the input nodes having polysemy based at least on a contextual distance function; and select at least one of the plurality of candidate nodes for the at least one of the input nodes having polysemy, wherein the selected at least one of the plurality of candidate nodes has an associated contextual distance approximating the determined contextual distance for the corresponding input node. | 8. A computing device, comprising: a natural language user interface configured to receive a natural language input, wherein the natural language input is visual input or audio input; a pre-processor configured to: map the natural language input to at least one of a plurality of input nodes or map the natural language input to a new input node, the new input node being created by the pre-processor and included in the plurality of input nodes; a memory storing: a semantic network, wherein the semantic network comprises: the plurality of input nodes, wherein at least one of the plurality of input nodes has polysemy; a plurality of candidate nodes associated with a plurality of candidate meanings for the at least one of the input nodes having polysemy; a natural language context including a plurality of context nodes; and a plurality of semantic links, wherein at least one of the plurality of semantic links traverses from at least one of the plurality of candidate nodes to at least one of the plurality of context nodes; and a natural language processing unit communicatively coupled to the memory and configured to: compute a plurality of contextual distances for the plurality of semantic links; compare two or more of the plurality of contextual distances to determine a contextual distance for the at least one of the input nodes having polysemy based at least on a contextual distance function; and select at least one of the plurality of candidate nodes for the at least one of the input nodes having polysemy, wherein the selected at least one of the plurality of candidate nodes has an associated contextual distance approximating the determined contextual distance for the corresponding input node. 9. The computing device of claim 8 , wherein the visual input is an image. | 0.509221 |
3. The system of claim 1 , wherein the topic model framework stores a point of interest (POI) feature vector associated with the POIs in each section as metadata. | 3. The system of claim 1 , wherein the topic model framework stores a point of interest (POI) feature vector associated with the POIs in each section as metadata. 4. The system of claim 3 , wherein the POI feature vector for each section is based at least in part on frequency densities of different types of POIs in each section. | 0.945384 |
7. A digital data processor comprising an instruction unit, said instruction unit comprising a code page that is partitioned for storing in a first section thereof a plurality of instruction words and, in association with at least one instruction word, in a second section thereof an extension to said at least one instruction word, further comprising at least one page table entry bit having a state for indicating, on a code page by code page basis, whether the code page is partitioned into said first and second sections for storing instruction words and at least one instruction word extension, or whether the code page is comprised instead of a single section storing only instruction words, wherein each of the first and second section is comprised of contiguous storage locations. | 7. A digital data processor comprising an instruction unit, said instruction unit comprising a code page that is partitioned for storing in a first section thereof a plurality of instruction words and, in association with at least one instruction word, in a second section thereof an extension to said at least one instruction word, further comprising at least one page table entry bit having a state for indicating, on a code page by code page basis, whether the code page is partitioned into said first and second sections for storing instruction words and at least one instruction word extension, or whether the code page is comprised instead of a single section storing only instruction words, wherein each of the first and second section is comprised of contiguous storage locations. 8. A digital data processor as in claim 7 , where said at least one page table entry bit is output from a translation lookaside buffer (TLB). | 0.682081 |
1. A system comprising: at least one processor of a computing device; a memory of the computing device; and an animation development tool comprising at least one program module that causes the at least one processor to: receive a document closure for a web page, the web page including an animation, the document closure including at least one content file and at least one presentation file; extract from the document closure, pieces of documents of the document closure, into a data structure representing the animation, the extracted pieces pertaining to the animation, the data structure differs from the web page; preview the animation in the animation development tool from the data structure; and convert user gestures manipulating properties of the animation to changes to the data structure; generate an internal set of CSS rules to apply to the animation that because of CSS precedence rules, would not play when an application including the animation is run; compute a set of winning animation properties for the animation; and update the data structure with an indication of the winning properties. | 1. A system comprising: at least one processor of a computing device; a memory of the computing device; and an animation development tool comprising at least one program module that causes the at least one processor to: receive a document closure for a web page, the web page including an animation, the document closure including at least one content file and at least one presentation file; extract from the document closure, pieces of documents of the document closure, into a data structure representing the animation, the extracted pieces pertaining to the animation, the data structure differs from the web page; preview the animation in the animation development tool from the data structure; and convert user gestures manipulating properties of the animation to changes to the data structure; generate an internal set of CSS rules to apply to the animation that because of CSS precedence rules, would not play when an application including the animation is run; compute a set of winning animation properties for the animation; and update the data structure with an indication of the winning properties. 3. The system of claim 1 , further comprising: at least one program module causing the at least one processor to: select the animation by selecting a CSS style rule, the CSS style rule comprising one of: a standard CSS style rule, an inline style rule for an element, or a virtual winning style rule representing winning style properties for the animation. | 0.537083 |
2. A method for verification of image linear structure in medical imaging applications, comprising: selecting, from a plurality of different parameter generating sources, parameters for a linear structure verifier in a medical imaging system; configuring the linear structure verifier according to the parameters; and verifying, using the linear structure verifier, linear structure associated with a microcalcification candidate cluster in a medical image, wherein the linear structure verifier utilizes cascade rules to verify the linear structure associated with the microcalcification candidate cluster. | 2. A method for verification of image linear structure in medical imaging applications, comprising: selecting, from a plurality of different parameter generating sources, parameters for a linear structure verifier in a medical imaging system; configuring the linear structure verifier according to the parameters; and verifying, using the linear structure verifier, linear structure associated with a microcalcification candidate cluster in a medical image, wherein the linear structure verifier utilizes cascade rules to verify the linear structure associated with the microcalcification candidate cluster. 4. The method as in claim 2 , wherein the linear structure verifier can be used before classifying the microcalcification candidate cluster. | 0.702627 |
20. A method for managing instance data, comprising: defining a metadata model establishing metadata elements and a table driven infrastructure for storing the instance data, said instance data organized according to said metadata model; storing said metadata and said instance data in a relational database, altering said metadata model when necessary without requiring reorganization or substantial manipulation of said instance data, creating a user interface, managing access to said instance data by users based on a security scheme, said managing including allowing authorized users to modify said instance data using a computer through said user interface. | 20. A method for managing instance data, comprising: defining a metadata model establishing metadata elements and a table driven infrastructure for storing the instance data, said instance data organized according to said metadata model; storing said metadata and said instance data in a relational database, altering said metadata model when necessary without requiring reorganization or substantial manipulation of said instance data, creating a user interface, managing access to said instance data by users based on a security scheme, said managing including allowing authorized users to modify said instance data using a computer through said user interface. 24. A method in accordance with claim 20 , wherein said step of managing access to said instance data comprises processing user requests to modify instance data using a rule engine that includes a set of rules governing relationships among various parts of the instance data. | 0.626773 |
1. A portable medical device configurable to operate in multiple languages comprising: a controller; a memory disposed in electrical communication with the controller, the memory comprising data relating to user instructions in a plurality of languages; a case which houses the controller and memory and comprises a mount disposed on the front face of the case; a sensing element disposed adjacent the mount and in electrical communication with the controller; and a language controller comprising a plaque having a visible language indicator of a first language and disposed to be secured in the mount; a controlling element disposed on the plaque such that the sensing element senses the controlling element when the plaque is secured in the mount, wherein the controller configures the portable medical device to operate in a first language of the plurality of languages based on the sensing element sensing the controlling element. | 1. A portable medical device configurable to operate in multiple languages comprising: a controller; a memory disposed in electrical communication with the controller, the memory comprising data relating to user instructions in a plurality of languages; a case which houses the controller and memory and comprises a mount disposed on the front face of the case; a sensing element disposed adjacent the mount and in electrical communication with the controller; and a language controller comprising a plaque having a visible language indicator of a first language and disposed to be secured in the mount; a controlling element disposed on the plaque such that the sensing element senses the controlling element when the plaque is secured in the mount, wherein the controller configures the portable medical device to operate in a first language of the plurality of languages based on the sensing element sensing the controlling element. 11. The portable medical device of claim 1 , further comprising a moisture-proof seal disposed around an engagement periphery between the plaque and the mount. | 0.612689 |
4. A digital document processing system, comprising: a plurality of workstations, each of the workstations including a respective email client; a control system; and at least one document processing device connected to the control system, wherein the plurality of user workstations and the control system include respective devices that enable bi-directional communication through a network, wherein the control system includes: a document storage that stores and manages digital documents related to a document processing operation in the at least one document processing device, where each of the digital documents are associated with a user of the plurality of workstations; a dedicated document email server that stores email items, wherein each email item is linked to a corresponding digital document in the document storage and where each email item stores the corresponding digital document's processing status; and a processor that executes instructions stored on a tangible computer readable storage medium to perform the steps of: storing and managing the digital documents in the document storage and informing the user on a digital document processing status of at least one of each of digital file documents associated with the user; operating the dedicated document email server to generate and maintain therein a respective email item for each digital document in the document storage; accessing the generated email items using the respective email client on the plurality of user workstations, wherein the respective email client includes a dedicated email folder coupled to a particular user account in the dedicated document email server; using the at least one document processing device-to perform a document processing operation on one of the digital documents in the document storage that changes the digital document's processing status; and updating the stored corresponding digital document's processing status in the generated email item in the dedicated document email server and the document storage, wherein the updating dynamically reflects the one of the digital document's actual changed processing status. | 4. A digital document processing system, comprising: a plurality of workstations, each of the workstations including a respective email client; a control system; and at least one document processing device connected to the control system, wherein the plurality of user workstations and the control system include respective devices that enable bi-directional communication through a network, wherein the control system includes: a document storage that stores and manages digital documents related to a document processing operation in the at least one document processing device, where each of the digital documents are associated with a user of the plurality of workstations; a dedicated document email server that stores email items, wherein each email item is linked to a corresponding digital document in the document storage and where each email item stores the corresponding digital document's processing status; and a processor that executes instructions stored on a tangible computer readable storage medium to perform the steps of: storing and managing the digital documents in the document storage and informing the user on a digital document processing status of at least one of each of digital file documents associated with the user; operating the dedicated document email server to generate and maintain therein a respective email item for each digital document in the document storage; accessing the generated email items using the respective email client on the plurality of user workstations, wherein the respective email client includes a dedicated email folder coupled to a particular user account in the dedicated document email server; using the at least one document processing device-to perform a document processing operation on one of the digital documents in the document storage that changes the digital document's processing status; and updating the stored corresponding digital document's processing status in the generated email item in the dedicated document email server and the document storage, wherein the updating dynamically reflects the one of the digital document's actual changed processing status. 14. The digital document processing system according to claim 4 , wherein the at least one document processing device has a local user interface for commanding operations involving digital documents, the local user interface is connected to the control system for manipulating digital documents stored in the document storage. | 0.531629 |
1. A method of processing a project having a plurality of source documents into scanned images of the source documents, comprising: scanning, with at least one scanner device, at least two source documents of the project to produce a digital scanned image for each of the at least two source documents; analyzing, with at least one processor, each of the scanned images to measure at least one characteristic of each of the at least two source documents; determining, with the at least one processor, a range of characteristics based on the measured characteristics, wherein the range of characteristics is bound by a highest measured characteristic and a lowest measured characteristic, and encompasses the measured characteristic for each of the at least two source documents; storing, on at least one storage medium, source document quality metrics for the project, the source document quality metrics comprising the range of characteristics; scanning, with the at least one scanner device, each of the plurality of source documents in the project a second time to create a second set of electronic image files representative of all physical documents from the project; and storing, on the at least one storage medium, the one or more electronic image files and a relationship of the one or more electronic files to the source document quality metrics, wherein the at least one characteristic comprises a selection from a group consisting of: color range; grayscale range; luminosity; contrast and noisiness. | 1. A method of processing a project having a plurality of source documents into scanned images of the source documents, comprising: scanning, with at least one scanner device, at least two source documents of the project to produce a digital scanned image for each of the at least two source documents; analyzing, with at least one processor, each of the scanned images to measure at least one characteristic of each of the at least two source documents; determining, with the at least one processor, a range of characteristics based on the measured characteristics, wherein the range of characteristics is bound by a highest measured characteristic and a lowest measured characteristic, and encompasses the measured characteristic for each of the at least two source documents; storing, on at least one storage medium, source document quality metrics for the project, the source document quality metrics comprising the range of characteristics; scanning, with the at least one scanner device, each of the plurality of source documents in the project a second time to create a second set of electronic image files representative of all physical documents from the project; and storing, on the at least one storage medium, the one or more electronic image files and a relationship of the one or more electronic files to the source document quality metrics, wherein the at least one characteristic comprises a selection from a group consisting of: color range; grayscale range; luminosity; contrast and noisiness. 8. The method of claim 1 , further comprising: during or after the second scanning step, determining scanned image quality metrics; using the scanned image quality metrics to identify a type of post-production processing that will improve the quality of the scanned images. | 0.508526 |
1. An error recovery method for processing well-defined documents comprising: executing a document processing program in memory by a processor of a computer; receiving a well-defined document as input to the document processing computer program, the document comprising a multiplicity of different fields; parsing the well-defined document and validating the well-defined document as conforming with a defined plan for the well-defined document; and, on condition that an error is detected during the parsing and the validating, further determining if enough of the well-defined document conforms to the defined plan in so far as the programmatic input needs of the document processing computer program require successful parsing and validation of only a subset of the fields, and on condition that enough of the well-defined document conforms to the defined plan in that ones of the fields required as programmatic input for the document processing computer program are determined to be successfully parsed and validated in the document and ones of the fields of the document determined not to be successfully parsed and validated also are determined not to be required as programmatic input for the document processing computer program, processing the well-defined document in the document processing computer program notwithstanding the detected error, but otherwise terminating use of the well-defined document in the document processing computer program. | 1. An error recovery method for processing well-defined documents comprising: executing a document processing program in memory by a processor of a computer; receiving a well-defined document as input to the document processing computer program, the document comprising a multiplicity of different fields; parsing the well-defined document and validating the well-defined document as conforming with a defined plan for the well-defined document; and, on condition that an error is detected during the parsing and the validating, further determining if enough of the well-defined document conforms to the defined plan in so far as the programmatic input needs of the document processing computer program require successful parsing and validation of only a subset of the fields, and on condition that enough of the well-defined document conforms to the defined plan in that ones of the fields required as programmatic input for the document processing computer program are determined to be successfully parsed and validated in the document and ones of the fields of the document determined not to be successfully parsed and validated also are determined not to be required as programmatic input for the document processing computer program, processing the well-defined document in the document processing computer program notwithstanding the detected error, but otherwise terminating use of the well-defined document in the document processing computer program. 3. The method of claim 1 , wherein the well-defined document is a message and the computer program is a message broker. | 0.9018 |
13. A system, the system comprising: a processor; a memory coupled to the processor, the memory comprising: a test script statement, comprising: an exposed method expressed in the test script statement; Application Programming Interface (API) calls characterized by API call types that navigate in sequence to the exposed method; logic, stored in the memory, that when executed by the processor, causes the processor to: determine a destination Graphical User Interface (GUI) object that exposes the exposed method; find an element path between sequential GUI objects in a GUI tree, where the element path leads to the destination GUI object, where the sequential GUI objects are characterized by GUI object types; determine whether the API call types in the element path between sequential GUI objects are compatible with the GUI object types in the sequence; obtaining, from a GUI object repository, validated action result for actions performed by the API calls on GUI object types in sequence; calculating API call type assignments for each API call according to the action results that specify valid API calls useable to perform actions on particular GUI object types; obtaining, from the GUI object repository, mappings of GUI object types, where each of the mappings comprise properties of a GUI object type; assigning GUI object types to each GUI object according to the API call types in sequence determined to be compatible with the GUI object types in sequence; determining a GUI object interactions count for the sequential GUI objects based on a configurable number of GUI object interactions for the sequential GUI objects; and generating a type inferencer message guide that explain how to transform data during data exchange between the GUI object. | 13. A system, the system comprising: a processor; a memory coupled to the processor, the memory comprising: a test script statement, comprising: an exposed method expressed in the test script statement; Application Programming Interface (API) calls characterized by API call types that navigate in sequence to the exposed method; logic, stored in the memory, that when executed by the processor, causes the processor to: determine a destination Graphical User Interface (GUI) object that exposes the exposed method; find an element path between sequential GUI objects in a GUI tree, where the element path leads to the destination GUI object, where the sequential GUI objects are characterized by GUI object types; determine whether the API call types in the element path between sequential GUI objects are compatible with the GUI object types in the sequence; obtaining, from a GUI object repository, validated action result for actions performed by the API calls on GUI object types in sequence; calculating API call type assignments for each API call according to the action results that specify valid API calls useable to perform actions on particular GUI object types; obtaining, from the GUI object repository, mappings of GUI object types, where each of the mappings comprise properties of a GUI object type; assigning GUI object types to each GUI object according to the API call types in sequence determined to be compatible with the GUI object types in sequence; determining a GUI object interactions count for the sequential GUI objects based on a configurable number of GUI object interactions for the sequential GUI objects; and generating a type inferencer message guide that explain how to transform data during data exchange between the GUI object. 18. The system of claim 13 , where the test script statement references GUI objects using the properties of the GUI objects, the GUI objects properties comprising: name; location; color; size, or any combination thereof. | 0.565637 |
48. In a medical implant assembly having first and second bone attachment structures cooperating with a longitudinal connecting member, the improvement wherein the longitudinal connecting member comprises: a) an anchor member portion passing through and secured directly to the first bone attachment structure, the anchor member portion having a first width and having a core extension of reduced second width, the core extension extending from the anchor member portion along a substantially central axis of the longitudinal connecting member, the first and second widths being measured perpendicular to the central axis; b) a first elastic outer spacer, the core extension being received in the spacer, the spacer being positioned between the two bone attachment structures; c) a second elastic outer spacer, the core extension being received in the second spacer, the second spacer being more compressible than the first spacer, both the first and second spacers being pre-compressed in a resting assembly state when connected to the bone attachment structures; the second elastic outer spacer being located relative to the core extension so as to not be between the first and second bone attachment structures; and d) a substantially inelastic sleeve, the core extension being received through the sleeve and in slidable relationship therewith, the sleeve passing through and secured in the second bone attachment structure, the sleeve being disposed between the first and second pre-compressed spacers, the pre-compressed spacers exerting axial forces on the sleeve. | 48. In a medical implant assembly having first and second bone attachment structures cooperating with a longitudinal connecting member, the improvement wherein the longitudinal connecting member comprises: a) an anchor member portion passing through and secured directly to the first bone attachment structure, the anchor member portion having a first width and having a core extension of reduced second width, the core extension extending from the anchor member portion along a substantially central axis of the longitudinal connecting member, the first and second widths being measured perpendicular to the central axis; b) a first elastic outer spacer, the core extension being received in the spacer, the spacer being positioned between the two bone attachment structures; c) a second elastic outer spacer, the core extension being received in the second spacer, the second spacer being more compressible than the first spacer, both the first and second spacers being pre-compressed in a resting assembly state when connected to the bone attachment structures; the second elastic outer spacer being located relative to the core extension so as to not be between the first and second bone attachment structures; and d) a substantially inelastic sleeve, the core extension being received through the sleeve and in slidable relationship therewith, the sleeve passing through and secured in the second bone attachment structure, the sleeve being disposed between the first and second pre-compressed spacers, the pre-compressed spacers exerting axial forces on the sleeve. 49. The improvement according to claim 48 , wherein the sleeve includes a cup shaped end surface. | 0.580765 |
1. A method for generating a structured query language (SQL) script based on a template, the method comprises: selecting one object from a plurality of objects in a data model; automatically selecting, without user input, at least one first instruction based, at least in part, on a type of the selected object; selecting a first template string based on the selected at least one first instruction; selecting a second object from the plurality of objects in the data model; selecting at least one second instruction based, at least in part, on a type of the second object; selecting a second template string based on the selected at least one second instruction; using a script generator to automatically, and without user input, sort and concatenate the first and second template strings from the selected objects, the script generator automatically sorting and concatenating the first and second template strings in an order identified by the first and second instructions and based on the types of the first and second objects; and using one or more processors to automatically generate at least a portion of the SQL script based on the sorted and concatenated first and second template strings of the order identified by the first and second instructions. | 1. A method for generating a structured query language (SQL) script based on a template, the method comprises: selecting one object from a plurality of objects in a data model; automatically selecting, without user input, at least one first instruction based, at least in part, on a type of the selected object; selecting a first template string based on the selected at least one first instruction; selecting a second object from the plurality of objects in the data model; selecting at least one second instruction based, at least in part, on a type of the second object; selecting a second template string based on the selected at least one second instruction; using a script generator to automatically, and without user input, sort and concatenate the first and second template strings from the selected objects, the script generator automatically sorting and concatenating the first and second template strings in an order identified by the first and second instructions and based on the types of the first and second objects; and using one or more processors to automatically generate at least a portion of the SQL script based on the sorted and concatenated first and second template strings of the order identified by the first and second instructions. 9. The method of claim 1 , wherein selecting the associated template string comprises selecting the associated template string based on the type of the selected object associated with each selected instruction. | 0.547454 |
25. A method, comprising: receiving a search query; determining a character count of the search query; in response to receiving the search query, using a processing circuit to search for a match to the search query in an electronic collection of content items by searching subspace categories representing respective classes of the content items, the subspace categories having respective search query character count dependent relevance bias values representing a relevance of the respective classes of content items to search queries of a given character count; identifying, in the electronic collection of content items, a plurality of content items matching the search query including a first content item of a first class linked to a first subspace category of the subspace categories and a second content item of a second class linked to a second subspace category of the subspace categories, the first subspace category having a first search query character count dependent relevance bias value for the character count determined for the search query received and the second subspace category having a second search query character count dependent relevance bias value different than the first character count dependent relevance bias value for the character count determined for the search query received; determining an ordering of the first and second content items matching the search query based at least in part on the first search query character count dependent relevance bias value of the first subspace category and the second search query character count dependent relevance bias value of the second subspace category; and causing to be presented the plurality of content items in accordance with the ordering. | 25. A method, comprising: receiving a search query; determining a character count of the search query; in response to receiving the search query, using a processing circuit to search for a match to the search query in an electronic collection of content items by searching subspace categories representing respective classes of the content items, the subspace categories having respective search query character count dependent relevance bias values representing a relevance of the respective classes of content items to search queries of a given character count; identifying, in the electronic collection of content items, a plurality of content items matching the search query including a first content item of a first class linked to a first subspace category of the subspace categories and a second content item of a second class linked to a second subspace category of the subspace categories, the first subspace category having a first search query character count dependent relevance bias value for the character count determined for the search query received and the second subspace category having a second search query character count dependent relevance bias value different than the first character count dependent relevance bias value for the character count determined for the search query received; determining an ordering of the first and second content items matching the search query based at least in part on the first search query character count dependent relevance bias value of the first subspace category and the second search query character count dependent relevance bias value of the second subspace category; and causing to be presented the plurality of content items in accordance with the ordering. 28. The method of claim 25 , wherein determining the character count of the search query comprises determining the character count of the search query is one, wherein the first class of content items is a television channel class, wherein the second class of content items is a movie class, wherein the first content item is a television channel content item, wherein the second content item is a movie content item, wherein the first search query character count dependent relevance bias value of the first subspace category representing the television channel class is higher than the second search query character count dependent relevance bias value of the second subspace category representing the movie class, and wherein determining an ordering of the first and second content items matching the search query comprises determining to order the television channel content item above the movie content item based at least in part on the first subspace category representing the television channel class having a higher search query character count dependent relevance bias value than the second subspace category representing the movie class for the determined character count of the search query. | 0.59026 |
13. A method comprising: selecting a pair of acoustic units from an acoustic unit database; identifying a concatenation cost between the pair of acoustic units based on communication with a concatenation cost database; and synthesizing a speech signal using the concatenation cost for the selected pair of acoustic units. | 13. A method comprising: selecting a pair of acoustic units from an acoustic unit database; identifying a concatenation cost between the pair of acoustic units based on communication with a concatenation cost database; and synthesizing a speech signal using the concatenation cost for the selected pair of acoustic units. 18. The method of claim 13 , wherein the concatenation cost database is derived at least in part by assigning costs to acoustic unit sequential pairs. | 0.772285 |
9. A system for processing data, comprising: a storage device configured to store a data set; and a processor, communicating with the storage device, the processor being configured to perform actions comprising: receiving identification of a plurality of concepts via a user interface, the concepts representing a top level of a hierarch of topics; processing the data set to extract children of the hierarchy of topics, wherein at least the children of the hierarchy of topics is based on a hierarchy of the data set identified from a source of the data set; linking a portion of the data set to a subset of the hierarchy of topics, wherein the subset of the hierarchy of topics comprises one or more subtopics; extracting selected terms from the portion of the data set, wherein the selected terms were identified as important based on calculated information retrieval measurements of the portion of the data set; training topic models for the subset of the hierarchy of topics and the one or more subtopics using the selected terms from the portion of the data set and a probabilistic learning technique, wherein for each topic model the training comprises: determining a prior knowledge estimate based on estimated prior knowledge of the portion of the data set belonging to the topic model; determining a plurality of term contribution estimates by processing each term of the selected terms to estimate a measure of evidence that the term contributes to the portion of the data set belonging to the topic model; and combining the prior knowledge estimate and the plurality of term contribution estimates to determine a probability that the portion of the data set belongs to the topic model; evaluating an accuracy and evaluating a complexity of each topic model of the topic models in response to a determination that a topic model has been trained for at least one subtopic; determining that the subset of the hierarchy of topics is an appropriate topic for textual data generated via a social networking service by determining that the subset of the hierarchy of topics balances the accuracy and the complexity of the topic models, wherein the subset of the hierarchy of topics is at a median hierarchy level relative to the hierarchy of topics; and detecting one or more appropriate subtopics of the appropriate topic that are most appropriate for the textual data generated via the social networking service by examining the accuracy of each topic model associated with the one or more subtopics of the appropriate topic, wherein the detecting one or more appropriate subtopics of the appropriate topic comprises applying a locality-sensitive hashing (LSH) technique to the textual data generated via the social networking service and the portion of the data set. | 9. A system for processing data, comprising: a storage device configured to store a data set; and a processor, communicating with the storage device, the processor being configured to perform actions comprising: receiving identification of a plurality of concepts via a user interface, the concepts representing a top level of a hierarch of topics; processing the data set to extract children of the hierarchy of topics, wherein at least the children of the hierarchy of topics is based on a hierarchy of the data set identified from a source of the data set; linking a portion of the data set to a subset of the hierarchy of topics, wherein the subset of the hierarchy of topics comprises one or more subtopics; extracting selected terms from the portion of the data set, wherein the selected terms were identified as important based on calculated information retrieval measurements of the portion of the data set; training topic models for the subset of the hierarchy of topics and the one or more subtopics using the selected terms from the portion of the data set and a probabilistic learning technique, wherein for each topic model the training comprises: determining a prior knowledge estimate based on estimated prior knowledge of the portion of the data set belonging to the topic model; determining a plurality of term contribution estimates by processing each term of the selected terms to estimate a measure of evidence that the term contributes to the portion of the data set belonging to the topic model; and combining the prior knowledge estimate and the plurality of term contribution estimates to determine a probability that the portion of the data set belongs to the topic model; evaluating an accuracy and evaluating a complexity of each topic model of the topic models in response to a determination that a topic model has been trained for at least one subtopic; determining that the subset of the hierarchy of topics is an appropriate topic for textual data generated via a social networking service by determining that the subset of the hierarchy of topics balances the accuracy and the complexity of the topic models, wherein the subset of the hierarchy of topics is at a median hierarchy level relative to the hierarchy of topics; and detecting one or more appropriate subtopics of the appropriate topic that are most appropriate for the textual data generated via the social networking service by examining the accuracy of each topic model associated with the one or more subtopics of the appropriate topic, wherein the detecting one or more appropriate subtopics of the appropriate topic comprises applying a locality-sensitive hashing (LSH) technique to the textual data generated via the social networking service and the portion of the data set. 14. The system of claim 9 , wherein the textual data generated via a social networking service is gathered from TWITTER® social networking service. | 0.552707 |
3. The application development and execution system of claim 1 wherein the script translation component supports designating attributes using relative identifiers. | 3. The application development and execution system of claim 1 wherein the script translation component supports designating attributes using relative identifiers. 5. The application development and execution system of claim 3 wherein the relative identifiers include: an engine designation. | 0.943712 |
23. A computer program product for managing data stored in an electronic device, the computer program product comprising: a computer readable storage medium having computer readable program code embodied in the medium, the computer readable program code comprising: computer readable program code configured to electronically identify a user input written on a display of the electronic device as a written user direction to transfer data displayed on the electronic device, the written user input defining at least one alphanumeric character; computer readable program code configured to determine a desired memory storage location for the data displayed on the electronic device responsive to the written user direction, wherein the desired memory storage location corresponds to the alphanumeric character defined by the written user input; and computer readable program code configured to transfer the data displayed on the electronic device to the desired memory storage location responsive to the determination. | 23. A computer program product for managing data stored in an electronic device, the computer program product comprising: a computer readable storage medium having computer readable program code embodied in the medium, the computer readable program code comprising: computer readable program code configured to electronically identify a user input written on a display of the electronic device as a written user direction to transfer data displayed on the electronic device, the written user input defining at least one alphanumeric character; computer readable program code configured to determine a desired memory storage location for the data displayed on the electronic device responsive to the written user direction, wherein the desired memory storage location corresponds to the alphanumeric character defined by the written user input; and computer readable program code configured to transfer the data displayed on the electronic device to the desired memory storage location responsive to the determination. 24. The computer program product of claim 23 , further comprising: computer readable program code configured to receive the at least one alphanumeric character and/or a symbol that is defined by writing on the display of the electronic device using a stylus. | 0.592047 |
15. A decoding apparatus, comprising: a memory that retains instructions for receiving sequence data requiring sequence translation; front-loading an estimated future distortion penalty in translating a remainder of the sequence of data; creating a search space of possible next-phrase translations; reducing the search space based in part on the estimated future distortion penalty; and selecting a translation candidate for the sequence data; and a processor that is configured to execute the instructions within the memory. | 15. A decoding apparatus, comprising: a memory that retains instructions for receiving sequence data requiring sequence translation; front-loading an estimated future distortion penalty in translating a remainder of the sequence of data; creating a search space of possible next-phrase translations; reducing the search space based in part on the estimated future distortion penalty; and selecting a translation candidate for the sequence data; and a processor that is configured to execute the instructions within the memory. 20. The decoding apparatus of claim 15 , the sequence translation comprises spelling correct translation. | 0.690728 |
3. The method according to claim 1 , wherein the updating comprises: estimating expected values of topic modeling parameters representing the topic similarity, the topic modeling parameters including α, β, θ, wherein the α represents a first prior probability matrix whose elements representing prior probabilities that unstructured texts of the entities is related to topics, the β represents a topic representation matrix whose elements representing degrees that words in the unstructured texts represented by the document word matrix W is associated with the topics, and the θ represents a document topic association matrix whose elements representing degrees that the unstructured texts of the entities are associated with the topics. | 3. The method according to claim 1 , wherein the updating comprises: estimating expected values of topic modeling parameters representing the topic similarity, the topic modeling parameters including α, β, θ, wherein the α represents a first prior probability matrix whose elements representing prior probabilities that unstructured texts of the entities is related to topics, the β represents a topic representation matrix whose elements representing degrees that words in the unstructured texts represented by the document word matrix W is associated with the topics, and the θ represents a document topic association matrix whose elements representing degrees that the unstructured texts of the entities are associated with the topics. 4. The method according to claim 3 , wherein the expected value of α, E[α], is estimated by computing ∫αP(α)dα, where P(α) is a distribution of α and is a function of other parameters, the expected values of β, E[β], is estimated by computing ∫βP(β)dβ, where P(β) is a distribution of β, and the expected values of θ, E[θ] is estimated by computing ∫θP(θ)dθ, where P(θ) is a distribution of θ. | 0.755859 |
1. A mixed language programming method for making a function or procedure written in a native language accessible to a Java application, said method comprising the steps of: receiving a native interface description that describes said function or procedure; parsing said native interface description; and processing said parsed native interface description to generate data conversion code stubs containing Java Native Interface functions required to implement said function or procedure and a Java class definition for said function or procedure, wherein said function or procedure, said data conversion code stubs and said Java class communicate directly by means of the Java Native Interface. | 1. A mixed language programming method for making a function or procedure written in a native language accessible to a Java application, said method comprising the steps of: receiving a native interface description that describes said function or procedure; parsing said native interface description; and processing said parsed native interface description to generate data conversion code stubs containing Java Native Interface functions required to implement said function or procedure and a Java class definition for said function or procedure, wherein said function or procedure, said data conversion code stubs and said Java class communicate directly by means of the Java Native Interface. 4. The method according to claim 1, wherein said function or procedure is compiled into a DLL. | 0.610897 |
1. A relay service for providing translation services between a hearing-impaired user and a hearing-capable user, comprising: a database with one or more entries, each of the one or more entries associated with a hearing-capable contact of the hearing-impaired user and including one or more connection indicators for the contact and one or more spoken languages understood by the contact; a profile system configured to determine an identified entry in the database using a calling connection indicator associated with the hearing-capable user to compare with the one or more connection indicators for the contact; and a call distribution system configured to: establish a calling connection over a voice-capable network with the calling connection indicator associated with the hearing-capable user; route the calling connection to a translator capable in a gesture language and the one or more spoken languages associated with the hearing-capable user determined from the identified entry; and establish a video-capable connection between the translator and the hearing-impaired user over a video-capable network. | 1. A relay service for providing translation services between a hearing-impaired user and a hearing-capable user, comprising: a database with one or more entries, each of the one or more entries associated with a hearing-capable contact of the hearing-impaired user and including one or more connection indicators for the contact and one or more spoken languages understood by the contact; a profile system configured to determine an identified entry in the database using a calling connection indicator associated with the hearing-capable user to compare with the one or more connection indicators for the contact; and a call distribution system configured to: establish a calling connection over a voice-capable network with the calling connection indicator associated with the hearing-capable user; route the calling connection to a translator capable in a gesture language and the one or more spoken languages associated with the hearing-capable user determined from the identified entry; and establish a video-capable connection between the translator and the hearing-impaired user over a video-capable network. 6. The relay service of claim 1 , wherein the one or more connection indicators for the contact comprise a phone number associated with the hearing-capable user. | 0.629713 |
1. A system for a knowledge management system comprising: a processor; and a memory that contains instructions that are readable by the processor and cause the processor to: receive a query that indicates at least one legal topic from a hierarchy of legal topics; provide a response to the query indicating each work-product document and each case law document that matches the at least one legal topic, wherein the processor is operable to, prior to providing the response: retrieve each work-product document that matches the at least one legal topic from a first database; and retrieve each case law document that matches the at least one legal topic from a second database; determine a validity status of at least one case cited within each work-product document, resulting in a validity indicator, the validity indicator for each work-product document indicating the validity status of the at least one case; indicate, in the response provided to the query, a reliability of each work-product document using the validity indicator and a rating indicator for each work-product document, the rating indicator for each work-product document indicating a user rating of each work-product document based on previous users of each work-product document; index each work-product document according to the hierarchy of legal topics based on at least one legal citation and a set of text; index each case law document according to the hierarchy of legal topics; receive a second query for a particular case law document; and provide a second response to the second query indicating each work-product document which includes at least one legal citation associated with the particular case law document according to a depth-of-treatment value, the depth-of-treatment value indicates a degree to which each work-product document evaluates the particular case law document. | 1. A system for a knowledge management system comprising: a processor; and a memory that contains instructions that are readable by the processor and cause the processor to: receive a query that indicates at least one legal topic from a hierarchy of legal topics; provide a response to the query indicating each work-product document and each case law document that matches the at least one legal topic, wherein the processor is operable to, prior to providing the response: retrieve each work-product document that matches the at least one legal topic from a first database; and retrieve each case law document that matches the at least one legal topic from a second database; determine a validity status of at least one case cited within each work-product document, resulting in a validity indicator, the validity indicator for each work-product document indicating the validity status of the at least one case; indicate, in the response provided to the query, a reliability of each work-product document using the validity indicator and a rating indicator for each work-product document, the rating indicator for each work-product document indicating a user rating of each work-product document based on previous users of each work-product document; index each work-product document according to the hierarchy of legal topics based on at least one legal citation and a set of text; index each case law document according to the hierarchy of legal topics; receive a second query for a particular case law document; and provide a second response to the second query indicating each work-product document which includes at least one legal citation associated with the particular case law document according to a depth-of-treatment value, the depth-of-treatment value indicates a degree to which each work-product document evaluates the particular case law document. 3. The system recited in of claim 1 , wherein the first and second databases are separated by a firewall. | 0.560358 |
4. The system of claim 1 wherein said parser includes a source parser reads said received data and builds an internal data model representing diagram metadata. | 4. The system of claim 1 wherein said parser includes a source parser reads said received data and builds an internal data model representing diagram metadata. 5. The system of claim 4 wherein said source parser identifies, in said received data described actors and a sequence of message packets communicated between the actors. | 0.94207 |
13. A computer program product comprising: a computer-usable storage medium having computer-usable program code stored thereon that, when executed by a system comprising a processor and a memory, causes the system to perform a method of processing an Extensible Markup Language (XML) document, the method comprising: loading, via the processor, an execution plan into a virtual machine, wherein the execution plan represents an XML schema and specifies a hierarchy of XML components, and wherein the virtual machine comprises a plurality of dedicated XML processing functions specifically corresponding to the XML components specified by the XML schema; selectively invoking, via the processor, the XML processing functions available within the virtual machine according to the execution plan, wherein the XML processing functions operate upon an XML document; and outputting, via the processor, an indication of whether the XML document is valid according to the XML processing functions. | 13. A computer program product comprising: a computer-usable storage medium having computer-usable program code stored thereon that, when executed by a system comprising a processor and a memory, causes the system to perform a method of processing an Extensible Markup Language (XML) document, the method comprising: loading, via the processor, an execution plan into a virtual machine, wherein the execution plan represents an XML schema and specifies a hierarchy of XML components, and wherein the virtual machine comprises a plurality of dedicated XML processing functions specifically corresponding to the XML components specified by the XML schema; selectively invoking, via the processor, the XML processing functions available within the virtual machine according to the execution plan, wherein the XML processing functions operate upon an XML document; and outputting, via the processor, an indication of whether the XML document is valid according to the XML processing functions. 14. The computer program product of claim 13 , wherein selectively invoking XML processing functions comprises: identifying, via the processor, a bytecode instruction within the execution plan; selecting, via the processor, an XML processing function associated with the bytecode instruction from the plurality of XML processing functions; and executing, via the processor, the selected XML processing function. | 0.652855 |
18. A device comprising: one or more processors to: receive text that includes data values, parse the text to identify data types associated with the data values, generate, based on the data values and the data types, a graphical representation of the text that includes data cells corresponding to the data values, provide the graphical representation for display, receive one or more selections of one or more data cells in the graphical representation, store the one or more selections as a selection history, the selection history storing a plurality of selections, and the plurality of selections including the one or more selections and one or more other selections received prior to receiving the one or more selections, provide the selection history for display, receive a selection of a particular selection, of the one or more selections, from the selection history, identify one or more data cells associated with the particular selection in the graphical representation, receive an instruction to import the particular selection to a technical computing environment, highlight, based on the instruction, only the one or more data cells, associated with the particular selection, in the graphical representation, the one or more data cells being associated with the data types, generate a data container associated with the technical computing environment, based on the particular selection and the identified data types associated with the one or more data cells of the particular selection, and provide the data container to the technical computing environment. | 18. A device comprising: one or more processors to: receive text that includes data values, parse the text to identify data types associated with the data values, generate, based on the data values and the data types, a graphical representation of the text that includes data cells corresponding to the data values, provide the graphical representation for display, receive one or more selections of one or more data cells in the graphical representation, store the one or more selections as a selection history, the selection history storing a plurality of selections, and the plurality of selections including the one or more selections and one or more other selections received prior to receiving the one or more selections, provide the selection history for display, receive a selection of a particular selection, of the one or more selections, from the selection history, identify one or more data cells associated with the particular selection in the graphical representation, receive an instruction to import the particular selection to a technical computing environment, highlight, based on the instruction, only the one or more data cells, associated with the particular selection, in the graphical representation, the one or more data cells being associated with the data types, generate a data container associated with the technical computing environment, based on the particular selection and the identified data types associated with the one or more data cells of the particular selection, and provide the data container to the technical computing environment. 19. The device of claim 18 , where the one or more processors are further to: generate a user interface that specifies data types for columns of the text and that permits editing of the specified data types, and provide the user interface for display. | 0.690123 |
1. A computer-implemented method comprising: receiving information about a geographic feature; identifying a plurality of contexts related to the geographic feature, and for each context, identifying a distinct respective ranking function for generating rank scores for geographic features, where each context is a respective purpose of a query; and generating, for each context, using the respective ranking function for the context and based on a relationship between the geographic feature and at least another geographic feature, a rank score for the geographic feature. | 1. A computer-implemented method comprising: receiving information about a geographic feature; identifying a plurality of contexts related to the geographic feature, and for each context, identifying a distinct respective ranking function for generating rank scores for geographic features, where each context is a respective purpose of a query; and generating, for each context, using the respective ranking function for the context and based on a relationship between the geographic feature and at least another geographic feature, a rank score for the geographic feature. 2. The method of claim 1 , wherein the plurality of contexts comprise at least a context of tourism or a context of real-estate investment. | 0.830342 |
23. The article of claim 18 wherein at least one of the predetermined document data fields are selected from the group consisting of a trading partner data field, a material group data field, a contract identifier data field, a date field, an order value field, and an invoice value field. | 23. The article of claim 18 wherein at least one of the predetermined document data fields are selected from the group consisting of a trading partner data field, a material group data field, a contract identifier data field, a date field, an order value field, and an invoice value field. 24. The article of claim 23 wherein the predetermined statistical category is defined by at least one parameter selected from the group consisting of a trading partner, a pair of trading partners, a contract identifier, a material group identifier, and a time period. | 0.902293 |
1. A method of providing navigation on an electronic device comprising a display screen, the method comprising: receiving a request to navigate to a destination; identifying a plurality of routes from a current location of the electronic device to the destination based on the received request; when the request is not a verbal request and the device is in an unlocked mode, (i) presenting the plurality of routes to a user to select one of the plurality of routes, (ii) receiving a selection of one of the routes, and (iii) providing navigational directions on the electronic device from the current location of the electronic device to the destination through the selected route; and when the request is a verbal request and the device is in a locked mode, (i) automatically selecting a single route from the plurality of routes without user input, (ii) displaying a map on the display screen with an overview of the selected route on the map, and (iii) after a predetermined delay and without any additional user input, displaying an animation for transitioning from displaying the overview of the selected route to providing navigational directions on the electronic device from the current location of the electronic device to the destination through the selected route, wherein the overview of the selected route comprises a representation of the entire route that is displayed on the map from the current location to the destination of the route. | 1. A method of providing navigation on an electronic device comprising a display screen, the method comprising: receiving a request to navigate to a destination; identifying a plurality of routes from a current location of the electronic device to the destination based on the received request; when the request is not a verbal request and the device is in an unlocked mode, (i) presenting the plurality of routes to a user to select one of the plurality of routes, (ii) receiving a selection of one of the routes, and (iii) providing navigational directions on the electronic device from the current location of the electronic device to the destination through the selected route; and when the request is a verbal request and the device is in a locked mode, (i) automatically selecting a single route from the plurality of routes without user input, (ii) displaying a map on the display screen with an overview of the selected route on the map, and (iii) after a predetermined delay and without any additional user input, displaying an animation for transitioning from displaying the overview of the selected route to providing navigational directions on the electronic device from the current location of the electronic device to the destination through the selected route, wherein the overview of the selected route comprises a representation of the entire route that is displayed on the map from the current location to the destination of the route. 22. The method of claim 1 , wherein a zoom level of the displayed map is automatically adjusted in order to display the entire route on the display screen. | 0.638085 |
12. The storage device of claim 10 , wherein the instructions that configure the machine to apply the heuristic include instructions, which when executed by the machine, configured the machine to apply at least one of a Hamming distance technique, Levenshtein distance technique, Damerau-Levenshtein distance technique, Jaro distance technique, Jaro-Winkler distance technique, or a phonetic matching technique to the identified preprocessor directive symbol and respective preprocessor directive symbols in the set of undefined preprocessor directive symbols. | 12. The storage device of claim 10 , wherein the instructions that configure the machine to apply the heuristic include instructions, which when executed by the machine, configured the machine to apply at least one of a Hamming distance technique, Levenshtein distance technique, Damerau-Levenshtein distance technique, Jaro distance technique, Jaro-Winkler distance technique, or a phonetic matching technique to the identified preprocessor directive symbol and respective preprocessor directive symbols in the set of undefined preprocessor directive symbols. 14. The storage device of claim 12 , wherein: the instructions that configure the machine to apply the heuristic include instructions, which when executed by the machine, configure the machine to apply the Levenshtein distance to the identified preprocessor directive symbol and respective preprocessor directive symbols in the set of undefined preprocessor directive symbols; the instructions that configure the machine to determine a likelihood that identified preprocessor directive symbol is presented erroneously as the respective preprocessor directive symbol include instructions, which when executed by the machine, configure the machine to compare a result of applying the Levenshtein distance to a threshold distance; and the instructions, further comprise instructions, which when executed by the machine, configure the machine to report that it is likely that the identified preprocessor directive symbol is erroneously presented in response to determining that the result is less than the threshold. | 0.791033 |
1. A method for transforming a first sequence of words, comprising digital data words and correction words and having a first ordering of said data words and correction words, comprising the steps of: forming blocks out of said first sequence, each block consisting of a plurality of said data words and a plurality of said correction words in said first ordering; selecting data words and correction words from said first sequence and combining said data words and correction words in a way to form a second sequence with a second ordering of data words and correction words; selecting out of the second sequence of words a first group and a second group each composed of data words and correction words in such a way that said first group and said second group (share) have one common word (with one of said blocks of words having the first ordering) and said common word also belongs to one of said blocks composed of words having said first ordering; submitting simultaneously the data words of the first group and of the second group to a checking operation; evaluating the result of the checking operation and deciding if erroneous data words of the first group and of the second group can be corrected; and correcting said second sequence of words using said correction words, when indicated by said evaluation. | 1. A method for transforming a first sequence of words, comprising digital data words and correction words and having a first ordering of said data words and correction words, comprising the steps of: forming blocks out of said first sequence, each block consisting of a plurality of said data words and a plurality of said correction words in said first ordering; selecting data words and correction words from said first sequence and combining said data words and correction words in a way to form a second sequence with a second ordering of data words and correction words; selecting out of the second sequence of words a first group and a second group each composed of data words and correction words in such a way that said first group and said second group (share) have one common word (with one of said blocks of words having the first ordering) and said common word also belongs to one of said blocks composed of words having said first ordering; submitting simultaneously the data words of the first group and of the second group to a checking operation; evaluating the result of the checking operation and deciding if erroneous data words of the first group and of the second group can be corrected; and correcting said second sequence of words using said correction words, when indicated by said evaluation. 12. A method according to claim 1, whereas said checking operation comprises adding values of said data words and correction words and comparing the result of the adding operation with a preset value. | 0.664557 |
9. The method according to claim 1 , wherein the step of recognizing comprises returning at least one alternative template selected from the plurality of templates. | 9. The method according to claim 1 , wherein the step of recognizing comprises returning at least one alternative template selected from the plurality of templates. 10. The method according to claim 9 , wherein the step of presenting comprises presenting the at least one of the plurality of handwriting symbol patterns of the at least one alternative template at a request of a user. | 0.922058 |
13. The device of claim 9 , wherein the operations further comprise: filtering the cluster of comments based on subject matter to generate a filtered cluster of comments; and enabling access to the filtered cluster of comments for a recipient device. | 13. The device of claim 9 , wherein the operations further comprise: filtering the cluster of comments based on subject matter to generate a filtered cluster of comments; and enabling access to the filtered cluster of comments for a recipient device. 14. The device of claim 13 , wherein the filtering of the cluster of comments includes replacing a portion of the cluster of comments with substitute content. | 0.932513 |
35. The computer instructions of claim 34 , the operations further comprising: identifying from the third data structure one or more offsets that correspond to a minimum value of the offset error. | 35. The computer instructions of claim 34 , the operations further comprising: identifying from the third data structure one or more offsets that correspond to a minimum value of the offset error. 36. The computer instructions of claim 35 , wherein: determining the filter size includes determining a size that corresponds to the minimum value of the offset error. | 0.89083 |
1. A system for processing speech and non-speech communications, comprising: a terminal device that receives the speech and the non-speech communications; a transcription module that transcribes the speech and the non-speech communications to create a speech-based textual message and a non-speech-based textual message; a merging module that merges the speech-based textual message and the non-speech-based textual message to generate a query; a search module that searches the query for text combinations; a comparison module that compares the text combinations to entries in a context description grammar; a plurality of domain agents that are associated with the context description grammar; a scoring module that provides relevance scores based on results from the comparison module; a domain agent selector that selects domain agents based on results from the scoring module; and a response generating module that communicates with the selected domain agents to obtain content that is gathered by the selected domain agents and that generates a response from the content, wherein the content is arranged in a selected order based on results from the scoring module. | 1. A system for processing speech and non-speech communications, comprising: a terminal device that receives the speech and the non-speech communications; a transcription module that transcribes the speech and the non-speech communications to create a speech-based textual message and a non-speech-based textual message; a merging module that merges the speech-based textual message and the non-speech-based textual message to generate a query; a search module that searches the query for text combinations; a comparison module that compares the text combinations to entries in a context description grammar; a plurality of domain agents that are associated with the context description grammar; a scoring module that provides relevance scores based on results from the comparison module; a domain agent selector that selects domain agents based on results from the scoring module; and a response generating module that communicates with the selected domain agents to obtain content that is gathered by the selected domain agents and that generates a response from the content, wherein the content is arranged in a selected order based on results from the scoring module. 7. The system according to claim 1 , further comprising a context stack that includes one or more contexts that are selected based on the query. | 0.565604 |
56. A non-transitory computer-readable medium storing a program which when executed by a computer causes the computer to execute functions comprising: enabling a user to compose a task that comprises a plurality of different types of computing sources of functionality, each computing source of functionality being a service to the user, by: associating each service with a semantic service description (SSD), which is based upon one or more ontologies for filtering, composing and executing the service, and is discoverable as an available service according to one or more discovery protocols, wherein an SSD further comprises: a semantic description of the service, including a semantic description of input/output parameters of the service as semantic input/output parameters, based upon the one or more ontologies, a filter parameter specifying relevance of the service, based upon the one or more ontologies, and a grounding including: a service invocation interface to the service; and an input/output parameter mapping between the semantic input/output parameters and syntactic input/output interface parameters of the service and/or an input/output parameter transformation function between the semantic input/output parameters and syntactic input/output interface parameters of the service; dynamically discovering any available SSDs as available services through the one or more discovery protocols to discover the SSDs; interfacing with the user for composing a current executable task that is a combination of two or more of the available services by dynamically presenting to the user possible services by filtering the discovered available services according to a context of the user in a computing environment for a service selection from the available services and/or according to the current composed executable task, based upon the semantic filter parameters in the SSDs of the discovered available services; and executing a task by invoking the two or more available services that comprise the task, including enabling the user to interact with an invoked available service, based upon the grounding in the associated SSDs including the service invocation interface, and the input/output mapping and/or the transformation function between the semantic input/output parameters and the syntactic input/output parameters. | 56. A non-transitory computer-readable medium storing a program which when executed by a computer causes the computer to execute functions comprising: enabling a user to compose a task that comprises a plurality of different types of computing sources of functionality, each computing source of functionality being a service to the user, by: associating each service with a semantic service description (SSD), which is based upon one or more ontologies for filtering, composing and executing the service, and is discoverable as an available service according to one or more discovery protocols, wherein an SSD further comprises: a semantic description of the service, including a semantic description of input/output parameters of the service as semantic input/output parameters, based upon the one or more ontologies, a filter parameter specifying relevance of the service, based upon the one or more ontologies, and a grounding including: a service invocation interface to the service; and an input/output parameter mapping between the semantic input/output parameters and syntactic input/output interface parameters of the service and/or an input/output parameter transformation function between the semantic input/output parameters and syntactic input/output interface parameters of the service; dynamically discovering any available SSDs as available services through the one or more discovery protocols to discover the SSDs; interfacing with the user for composing a current executable task that is a combination of two or more of the available services by dynamically presenting to the user possible services by filtering the discovered available services according to a context of the user in a computing environment for a service selection from the available services and/or according to the current composed executable task, based upon the semantic filter parameters in the SSDs of the discovered available services; and executing a task by invoking the two or more available services that comprise the task, including enabling the user to interact with an invoked available service, based upon the grounding in the associated SSDs including the service invocation interface, and the input/output mapping and/or the transformation function between the semantic input/output parameters and the syntactic input/output parameters. 58. The computer-readable medium of claim 56 , wherein the SSD is expressed in a service description language. | 0.679821 |
37. A process for making a digital information product comprising computer data signals defining a digital form of a digital document, wherein the process makes available digital documents of different types and content, and is responsive to a request for one of the documents, the request received from another computer according to a communication protocol, the process comprising the steps of: receiving an indication of a requested document; accessing a definition of additional content for a type of the requested document; generating an additional content component according to the definition of additional content for the type of the requested document; selecting at least a portion of the content of the requested document; combining the additional content component with the content of the selected portion of the requested document to obtain an output document, and encoding the output document in a computer data signal; and packaging and transmitting the output document to the other computer according to the communication protocol. | 37. A process for making a digital information product comprising computer data signals defining a digital form of a digital document, wherein the process makes available digital documents of different types and content, and is responsive to a request for one of the documents, the request received from another computer according to a communication protocol, the process comprising the steps of: receiving an indication of a requested document; accessing a definition of additional content for a type of the requested document; generating an additional content component according to the definition of additional content for the type of the requested document; selecting at least a portion of the content of the requested document; combining the additional content component with the content of the selected portion of the requested document to obtain an output document, and encoding the output document in a computer data signal; and packaging and transmitting the output document to the other computer according to the communication protocol. 38. The process of claim 37, wherein the requested document is a digital document having fixed text content and fixed structure defined by descriptive markup defining a plurality of hierarchical elements providing an indication of structure of the digital document. | 0.625566 |
17. A system comprising a document-driven scanning input device communicating with a computer, said input device comprising scanning means for generating image data representing the image of a document, and means, responsive to placement of a document by a user, for drawing the document into scanning relationship with said scanning means so that said scanning means generates image data representing the image of the document, wherein said placement alone is sufficient to initiate said drawing, and said computer comprising means for storing said image data generated in response to said placement. | 17. A system comprising a document-driven scanning input device communicating with a computer, said input device comprising scanning means for generating image data representing the image of a document, and means, responsive to placement of a document by a user, for drawing the document into scanning relationship with said scanning means so that said scanning means generates image data representing the image of the document, wherein said placement alone is sufficient to initiate said drawing, and said computer comprising means for storing said image data generated in response to said placement. 19. A system according to claim 17 wherein said means for storing said image data periodically polls said input device to determine whether a document has been placed by a user. | 0.633216 |
5. The method according to claim 4 , wherein types of the query include a string, a one-stroke mark, an underline, and an enclosure. | 5. The method according to claim 4 , wherein types of the query include a string, a one-stroke mark, an underline, and an enclosure. 6. The method according to claim 5 , wherein if the type of the query is the string, the document is searched for a handwriting similar to the handwriting with the acquired data, if the type of the query is a one-stroke mark, the document is searched preferentially for a handwriting which is similar to the handwriting with the acquired data and which is located at a head of a line, if the type of the query is an underline, the document is searched for a horizontal line above and adjacent to which the handwriting with the acquired data, if the type of the query is an enclosure, the document is searched for a closed curve containing the handwriting with the acquired data. | 0.685939 |
25. The hardware computer readable storage media of claim 15 and further comprising rendering information to the user while the user is providing the input, the information being a function of the semantic object received. | 25. The hardware computer readable storage media of claim 15 and further comprising rendering information to the user while the user is providing the input, the information being a function of the semantic object received. 26. The hardware computer readable storage media of claim 25 wherein rendering information comprises acknowledging what has been received by rendering information as a function of the semantic information for the semantic object. | 0.901817 |
9. The method of claim 2 , further comprising: recognizing one or more trigger words that precede a spoken word in the speech data; wherein the speech data comprises information indicative of the one or more trigger words. | 9. The method of claim 2 , further comprising: recognizing one or more trigger words that precede a spoken word in the speech data; wherein the speech data comprises information indicative of the one or more trigger words. 10. The method of claim 9 , wherein the one or more trigger words correspond to the action. | 0.964252 |
1. An apparatus, comprising: at least one processor; and a non-transitory memory storing computer-readable instructions that, when executed by the at least one processor, cause the apparatus to: transmit to a group of users, a first document including a data item field, the group of users including a first portion of the group including a first plurality of users and a second portion of the group including a second plurality of users different from the first plurality of users; receive, from a first user of the group of users, first user input accessing the first document; provide to the first user of the group of users, access to the first document and the data item field, the data item field including a first data item, wherein the first data item is a first numerical item that is visible in the first document; receive, from a second user of the group of users, second user input accessing the first document; provide to the second user of the group of users, access to the first document and the data item field, the data item field including a second data item different from the first data item, wherein the second data item is a numerical item that is visible in the first document, wherein alternating users accessing the first document and the data item field access data items in the data item field alternating between the first data item and the second data item, and wherein users accessing the first document with the first data item in the data item field form the first plurality of users forming the first portion of the group of users and users accessing the first document with the second data item in the data item field form the second plurality of users forming the second portion of the group of users; receive data identifying a disclosure, the disclosure including one of the first data item and the second data item; responsive to receiving data identifying disclosure of the first data item, identifying users of the first plurality of users as a potential source of the disclosure; and responsive to receiving data identifying disclosure of the second data item, identifying the users of the second plurality of users as a potential source of the disclosure. | 1. An apparatus, comprising: at least one processor; and a non-transitory memory storing computer-readable instructions that, when executed by the at least one processor, cause the apparatus to: transmit to a group of users, a first document including a data item field, the group of users including a first portion of the group including a first plurality of users and a second portion of the group including a second plurality of users different from the first plurality of users; receive, from a first user of the group of users, first user input accessing the first document; provide to the first user of the group of users, access to the first document and the data item field, the data item field including a first data item, wherein the first data item is a first numerical item that is visible in the first document; receive, from a second user of the group of users, second user input accessing the first document; provide to the second user of the group of users, access to the first document and the data item field, the data item field including a second data item different from the first data item, wherein the second data item is a numerical item that is visible in the first document, wherein alternating users accessing the first document and the data item field access data items in the data item field alternating between the first data item and the second data item, and wherein users accessing the first document with the first data item in the data item field form the first plurality of users forming the first portion of the group of users and users accessing the first document with the second data item in the data item field form the second plurality of users forming the second portion of the group of users; receive data identifying a disclosure, the disclosure including one of the first data item and the second data item; responsive to receiving data identifying disclosure of the first data item, identifying users of the first plurality of users as a potential source of the disclosure; and responsive to receiving data identifying disclosure of the second data item, identifying the users of the second plurality of users as a potential source of the disclosure. 3. The apparatus of claim 1 , further including instructions that, when executed, cause the apparatus to: after receiving the data identifying the disclosure and responsive to receiving data identifying disclosure of the first data item, sort the first plurality of users into at least two subgroups; and after receiving the data identifying the disclosure and responsive to receiving data identifying disclosure of the second data item, sort the second plurality of users into at least two subgroups. | 0.53926 |
12. The method of claim 10 , further comprising: estimating a convolutive distortion mean vector corresponding to the distorted speech utterance; updating the parameters in each Hidden Markov Model in the first subset of Hidden Markov Models based at least in part upon the convolutive distortion mean vector; re-estimating the convolutive distortion mean vector based at least in part upon the decoding of the distorted speech utterance through utilization of the second subset of Hidden Markov Models; and adapting parameters of each Hidden Markov Model in the second subset of Hidden Markov Models based at least in part upon the re-estimating of the additive distortion mean vector and the re-estimating of the convolutive distortion mean vector. | 12. The method of claim 10 , further comprising: estimating a convolutive distortion mean vector corresponding to the distorted speech utterance; updating the parameters in each Hidden Markov Model in the first subset of Hidden Markov Models based at least in part upon the convolutive distortion mean vector; re-estimating the convolutive distortion mean vector based at least in part upon the decoding of the distorted speech utterance through utilization of the second subset of Hidden Markov Models; and adapting parameters of each Hidden Markov Model in the second subset of Hidden Markov Models based at least in part upon the re-estimating of the additive distortion mean vector and the re-estimating of the convolutive distortion mean vector. 13. The method of claim 12 , wherein a nonlinear phase-sensitive model of additive and convolutive distortion is employed to re-estimate the convolutive distortion mean vector based at least in part upon the decoding of the distorted speech utterance through utilization of the second subset of Hidden Markov Models. | 0.818646 |
1. A system, comprising: a processor; and a taxonomy editor configured to execute on the processor to generate a visual representation of a taxonomy associated with a set of scientific papers, the taxonomy editor comprising: a properties module configured to identify one or more properties relating to an individual node of the taxonomy, the one or more properties reflecting a number of scientific papers assigned to the individual node in recent years; a statistics module configured to determine a trend relating to the number of scientific papers assigned to the individual node in recent years; and a suggestion module configured to utilize the one or more properties and the trend to, in at least one instance when the individual node is not a leaf node and the trend indicates that the number of scientific papers assigned to the individual node in recent years is decreasing, provide a suggested modification to a user to collapse at least two children leaf nodes of the individual node into the individual node and cause the individual node to become a leaf node of the taxonomy. | 1. A system, comprising: a processor; and a taxonomy editor configured to execute on the processor to generate a visual representation of a taxonomy associated with a set of scientific papers, the taxonomy editor comprising: a properties module configured to identify one or more properties relating to an individual node of the taxonomy, the one or more properties reflecting a number of scientific papers assigned to the individual node in recent years; a statistics module configured to determine a trend relating to the number of scientific papers assigned to the individual node in recent years; and a suggestion module configured to utilize the one or more properties and the trend to, in at least one instance when the individual node is not a leaf node and the trend indicates that the number of scientific papers assigned to the individual node in recent years is decreasing, provide a suggested modification to a user to collapse at least two children leaf nodes of the individual node into the individual node and cause the individual node to become a leaf node of the taxonomy. 8. The system of claim 1 , wherein the taxonomy editor is further configured to allow other modifications of the individual node by deleting the individual node, splitting the individual node or creating a child node of the individual node in the visual representation and wherein the taxonomy editor is further configured to apply the other modifications to the taxonomy. | 0.509554 |
7. The method of claim 1, further comprising the steps of: (6) generating one or more intra-line tags for each of said sorted identified objects; and (7) storing said intra-line tags in said electronic representation of said tag based document. | 7. The method of claim 1, further comprising the steps of: (6) generating one or more intra-line tags for each of said sorted identified objects; and (7) storing said intra-line tags in said electronic representation of said tag based document. 8. The method of claim 7, wherein in step (7) said tags are sequentially stored in consecutive, available locations of said electronic representation of said tag based document. | 0.922944 |
9. The method of claim 8 in which each probability value is logarithmic and in which (A1a) includes, for each language in the third subset that is in both the first and second subsets: adding probability values for the N-grams that occur in the sample text to obtain a total N-gram probability value and adding probability values for words that occur in the sample text to obtain a total word probability value, the probability value for each N-gram and word that occurs in the sample text but is not in the set of N-grams or in the set of words being a constant probability value indicating a low probability; and combining the total N-gram probability value and the total word probability value to obtain a sample probability value; the sample probability value being the sample probability data for the language. | 9. The method of claim 8 in which each probability value is logarithmic and in which (A1a) includes, for each language in the third subset that is in both the first and second subsets: adding probability values for the N-grams that occur in the sample text to obtain a total N-gram probability value and adding probability values for words that occur in the sample text to obtain a total word probability value, the probability value for each N-gram and word that occurs in the sample text but is not in the set of N-grams or in the set of words being a constant probability value indicating a low probability; and combining the total N-gram probability value and the total word probability value to obtain a sample probability value; the sample probability value being the sample probability data for the language. 10. The method of claim 9 in which the act of combining the total probability values comprises adding the total probability values and dividing by two. | 0.82469 |
1. A non-transitory computer readable medium storing executable instructions to: store a plurality of reports in a repository, wherein each report includes information automatically retrieved from a data source, where the information is structured in accordance with a report schema that specifies the form in which the information should be presented, wherein the report schema defines separate report elements as structural components found inside a report; extract, from each report of the plurality of reports, report element instance context metadata and report element instance context data to define indexed fields, wherein the report element instance context metadata specifies metadata that affects evaluation of a report element instance including context comprising a combination of parameters and the report element instance context data specifies data that affects evaluation of the report element instance; receive a search query; apply the search query against the indexed fields; and compile search query results to produce a list of relevant report element instances, wherein each report element instance is a single occurrence of a report element in a report and reports are ranked based on a composite ranking factor, the composite ranking factor being compiled from two or more ranking methods including a method based on a report element instance's level of hierarchy in a report or sub-report. | 1. A non-transitory computer readable medium storing executable instructions to: store a plurality of reports in a repository, wherein each report includes information automatically retrieved from a data source, where the information is structured in accordance with a report schema that specifies the form in which the information should be presented, wherein the report schema defines separate report elements as structural components found inside a report; extract, from each report of the plurality of reports, report element instance context metadata and report element instance context data to define indexed fields, wherein the report element instance context metadata specifies metadata that affects evaluation of a report element instance including context comprising a combination of parameters and the report element instance context data specifies data that affects evaluation of the report element instance; receive a search query; apply the search query against the indexed fields; and compile search query results to produce a list of relevant report element instances, wherein each report element instance is a single occurrence of a report element in a report and reports are ranked based on a composite ranking factor, the composite ranking factor being compiled from two or more ranking methods including a method based on a report element instance's level of hierarchy in a report or sub-report. 9. The computer readable medium according to claim 1 further comprising executable instructions to return compiled search query results to a user. | 0.812977 |
6. The method of claim 5 further comprising: transmitting, with the computer, the invention disclosure form to a recipient. | 6. The method of claim 5 further comprising: transmitting, with the computer, the invention disclosure form to a recipient. 8. The method of claim 6 wherein receiving dictation from a plurality of inventors includes receiving instructions as to where to transmit the invention disclosure form. | 0.89532 |
13. A method of providing hands-free services using a mobile device having wireless access to computer-based services, the method comprising: (a) receiving speech at a mobile device from a vehicle occupant via a short-range communication connection; (b) transmitting the received speech from the mobile device to a cloud speech service; (c) receiving automatic speech recognition (ASR) results from the cloud speech service; (d) determining that the received ASR results include one or more incorrectly identified speech terms; (e) performing local speech recognition on the received speech in response to the determination in step (d), including using a speech recognition resource at the vehicle to obtain a local speech recognition result, the speech recognition resource including vehicle-related and/or user-related data that was not used by the cloud speech service in generating the ASR results; (f) comparing the local speech recognition with the ASR results to detect when the local speech recognition correctly identified the incorrectly identified speech terms in response to the determination in step (e); and (g) sending the results of the comparison in step (f) to a central facility located remotely from the mobile device. | 13. A method of providing hands-free services using a mobile device having wireless access to computer-based services, the method comprising: (a) receiving speech at a mobile device from a vehicle occupant via a short-range communication connection; (b) transmitting the received speech from the mobile device to a cloud speech service; (c) receiving automatic speech recognition (ASR) results from the cloud speech service; (d) determining that the received ASR results include one or more incorrectly identified speech terms; (e) performing local speech recognition on the received speech in response to the determination in step (d), including using a speech recognition resource at the vehicle to obtain a local speech recognition result, the speech recognition resource including vehicle-related and/or user-related data that was not used by the cloud speech service in generating the ASR results; (f) comparing the local speech recognition with the ASR results to detect when the local speech recognition correctly identified the incorrectly identified speech terms in response to the determination in step (e); and (g) sending the results of the comparison in step (f) to a central facility located remotely from the mobile device. 15. The method of claim 13 , further comprising the step of performing local speech recognition using a local speech recognition grammar. | 0.599937 |
4. The non-transitory computer-readable medium of claim 1 , further comprising instructions that when executed by the processor cause the processor to: access a set of arbiter points {a 0 , . . . , a n } to perform the classification of the data point q; for each arbiter point, determine a class-aggregated similarity metric for the set of arbiter points with respect to a given arbiter point; aggregate class-aggregated similarity metrics for the first set among the arbiter points to produce a first arbiter-class-aggregated similarity metric; aggregate class-aggregated similarity metrics for the second set among the arbiter points to produce a second arbiter-class-aggregated similarity metric; and classify the query data point q based on a comparison of the first class-aggregated similarity metric and the second class-aggregated similarity metric. | 4. The non-transitory computer-readable medium of claim 1 , further comprising instructions that when executed by the processor cause the processor to: access a set of arbiter points {a 0 , . . . , a n } to perform the classification of the data point q; for each arbiter point, determine a class-aggregated similarity metric for the set of arbiter points with respect to a given arbiter point; aggregate class-aggregated similarity metrics for the first set among the arbiter points to produce a first arbiter-class-aggregated similarity metric; aggregate class-aggregated similarity metrics for the second set among the arbiter points to produce a second arbiter-class-aggregated similarity metric; and classify the query data point q based on a comparison of the first class-aggregated similarity metric and the second class-aggregated similarity metric. 6. The non-transitory computer-readable medium of claim 4 , wherein the instructions further comprise instructions that when executed by the processor cause the processor to select, as the set of arbiter points, one or more data points not belonging to the first set of classified data points or the second set of classified data points. | 0.948016 |
19. A computer program stored in a non-transitory manner in one or more computer storage media, said computer program when loaded and run in a computer system causing the computer system to be configured as follows and to carry out the following steps though not necessarily in the sequence recited below: receiving in or generating by the computer system plural documents in respective formats according to respective different applications through which the documents are generated or modified, which formats differ from one of the documents to another for at least some of the documents; said computer system being configured to automatically generate and store in computer storage respective representations of said documents, thereby forming a main collection of document representations corresponding to a man collection of said documents; said computer system automatically generating and storing said main collection of document representations without requiring the user to designate a directory structure, a physical location for storage of document representations of corresponding documents, or another pre-imposed document categorization structure for each of said document representations or documents; selectively displaying on a computer screen graphical depictions of only a portion of the main collection of document representations, corresponding to only a portion of the main collection of documents, wherein the displayed graphical depictions of only a portion of said main collection of document representations comprise a display of partly overlapping, receding graphical depictions of document representations; said automatically generated and stored document representations being in an essentially consistent format despite differences in format from one to another of the documents corresponding thereto; said automatically generated and stored representations of said documents including respective automatically generated time indicators associated with the documents corresponding to said representations; said automatically generated and stored main collection of document representations being unbounded in time and size and being configured to include documents associated with time indicators related to future times as well as to past and present times; said automatically generated and stored main collection of document representations requiring no fixed beginning or end and being non-transitory and selectively searchable by the computer system; said computer system automatically maintaining the main collection of document representations live, dynamic and persistent by being responsive to subsequent events to expand said main collection of document representations by automatically generating and incorporating therein, in said computer storage, additional document representations of additional documents corresponding thereto that are subsequently received by or generated by the computer system; said additional document representations also including automatically generated respective time indicators associated with the subsequently received or generated documents; providing selected search criteria; causing said computer system to search at least one of said main collection of document representations and said main collection of documents according to said search criteria, to provide search results, and to utilize said search results to generate a sub-collection of document representations related to a respective sub-collection of documents that comprise a subset of the main collection of documents; said computer system automatically maintaining said sub-collection of document representations live, dynamic and persistent, and being responsive to subsequent events to expand said sub-collection of document representations by automatically incorporating therein document representations of documents that are subsequently received by or generated by the computer system and meet said search criteria; selectively displaying on a computer screen graphical depictions of only a portion of the sub-collection of document representations, corresponding to only a portion of said sub-collection of documents, wherein the displayed graphical depictions of said portion of said sub-collection of document representations comprise a display of partly overlapping, receding graphical depictions; automatically showing on the display screen a display of a glance view of a displayed graphical depiction while showing other displayed graphical depictions as a display of partly overlapping and receding graphical depictions; said glance view being an abbreviated version of the document representation or document corresponding to the graphical depiction and being indicative of content thereof; and said showing of the glance view occurring in response to a user designation, with an input device, of a screen area associated with the graphical depiction, without requiring dwelling of a cursor for at least about a second on a selected area of the screen associated with the currently displayed collection or sub-collection of graphical depictions in order to enable said showing of the glance view. | 19. A computer program stored in a non-transitory manner in one or more computer storage media, said computer program when loaded and run in a computer system causing the computer system to be configured as follows and to carry out the following steps though not necessarily in the sequence recited below: receiving in or generating by the computer system plural documents in respective formats according to respective different applications through which the documents are generated or modified, which formats differ from one of the documents to another for at least some of the documents; said computer system being configured to automatically generate and store in computer storage respective representations of said documents, thereby forming a main collection of document representations corresponding to a man collection of said documents; said computer system automatically generating and storing said main collection of document representations without requiring the user to designate a directory structure, a physical location for storage of document representations of corresponding documents, or another pre-imposed document categorization structure for each of said document representations or documents; selectively displaying on a computer screen graphical depictions of only a portion of the main collection of document representations, corresponding to only a portion of the main collection of documents, wherein the displayed graphical depictions of only a portion of said main collection of document representations comprise a display of partly overlapping, receding graphical depictions of document representations; said automatically generated and stored document representations being in an essentially consistent format despite differences in format from one to another of the documents corresponding thereto; said automatically generated and stored representations of said documents including respective automatically generated time indicators associated with the documents corresponding to said representations; said automatically generated and stored main collection of document representations being unbounded in time and size and being configured to include documents associated with time indicators related to future times as well as to past and present times; said automatically generated and stored main collection of document representations requiring no fixed beginning or end and being non-transitory and selectively searchable by the computer system; said computer system automatically maintaining the main collection of document representations live, dynamic and persistent by being responsive to subsequent events to expand said main collection of document representations by automatically generating and incorporating therein, in said computer storage, additional document representations of additional documents corresponding thereto that are subsequently received by or generated by the computer system; said additional document representations also including automatically generated respective time indicators associated with the subsequently received or generated documents; providing selected search criteria; causing said computer system to search at least one of said main collection of document representations and said main collection of documents according to said search criteria, to provide search results, and to utilize said search results to generate a sub-collection of document representations related to a respective sub-collection of documents that comprise a subset of the main collection of documents; said computer system automatically maintaining said sub-collection of document representations live, dynamic and persistent, and being responsive to subsequent events to expand said sub-collection of document representations by automatically incorporating therein document representations of documents that are subsequently received by or generated by the computer system and meet said search criteria; selectively displaying on a computer screen graphical depictions of only a portion of the sub-collection of document representations, corresponding to only a portion of said sub-collection of documents, wherein the displayed graphical depictions of said portion of said sub-collection of document representations comprise a display of partly overlapping, receding graphical depictions; automatically showing on the display screen a display of a glance view of a displayed graphical depiction while showing other displayed graphical depictions as a display of partly overlapping and receding graphical depictions; said glance view being an abbreviated version of the document representation or document corresponding to the graphical depiction and being indicative of content thereof; and said showing of the glance view occurring in response to a user designation, with an input device, of a screen area associated with the graphical depiction, without requiring dwelling of a cursor for at least about a second on a selected area of the screen associated with the currently displayed collection or sub-collection of graphical depictions in order to enable said showing of the glance view. 36. The computer program of claim 19 in which the displayed glance view comprises a type glyph that identifies the nature of the corresponding document. | 0.535341 |
1. An information-sharing system, comprising: a server connected to a network, the server having a processor and a coupled data repository, with software executing on the processor from a non-transitory medium providing system intelligence; a plurality of computerized communication devices coupled to the network, each having a microphone, a speaker, and a display screen, each executing coded instructions providing local intelligence at least presenting interactive interfaces to a user; wherein the user is enabled by the coded instructions executing at the computerized communication device to record an audio or audio-video input which the system, by use of natural language processing, determines to be either a voice command or a Shout, being a situation, activity, accident, event, or other environmental information, occurring in the immediate observable proximity of the user providing the audio or audio-visual report, and if the input is determined to be a Shout, is transmitted to the Server, where it is processed by natural language machine intelligence to determine if the content is appropriate based at least in part on use of profane or abusive language, to determine a channel according to pre-programmed definitions, using the device's GPS location to determine location of the user sending the Shout, a category in the determined Channel, and priority, and is tagged accordingly, and to determine a confidence level based on a pre-determined threshold, and wherein if confidence equals or exceeds the threshold the Shout is transmitted to other users according to determinations based on determinations made by server intelligence, and if the Shout is below the confidence threshold, the Shout is passed to human moderators to improve the analysis. | 1. An information-sharing system, comprising: a server connected to a network, the server having a processor and a coupled data repository, with software executing on the processor from a non-transitory medium providing system intelligence; a plurality of computerized communication devices coupled to the network, each having a microphone, a speaker, and a display screen, each executing coded instructions providing local intelligence at least presenting interactive interfaces to a user; wherein the user is enabled by the coded instructions executing at the computerized communication device to record an audio or audio-video input which the system, by use of natural language processing, determines to be either a voice command or a Shout, being a situation, activity, accident, event, or other environmental information, occurring in the immediate observable proximity of the user providing the audio or audio-visual report, and if the input is determined to be a Shout, is transmitted to the Server, where it is processed by natural language machine intelligence to determine if the content is appropriate based at least in part on use of profane or abusive language, to determine a channel according to pre-programmed definitions, using the device's GPS location to determine location of the user sending the Shout, a category in the determined Channel, and priority, and is tagged accordingly, and to determine a confidence level based on a pre-determined threshold, and wherein if confidence equals or exceeds the threshold the Shout is transmitted to other users according to determinations based on determinations made by server intelligence, and if the Shout is below the confidence threshold, the Shout is passed to human moderators to improve the analysis. 3. The system of claim 1 wherein a profile is provided for each user of the system, the profile is updated periodically recording user ID, device ID associated with the user, user preferences, and user selected associations with other users, and wherein Shouts received by the system are periodically transmitted to other users by cross-referencing Shout characteristics and content with user location and location-based information and user preferences. | 0.542984 |
12. A system for decreasing the perceived end user latency while interacting with a media database comprising: the media database storing metadata associated with media; a media manager in communication with at least one media player and operable to access the media database via at least one of a plurality of connections between the at least one media player and the media manager; the at least one media player each having a user interface operable to display a first set of query results and receive user input based on the displayed first set of query results, wherein each query result in the displayed first set of query results representing a user selectable object that navigates to another set of query results displayable by the user interface; and a predictive module operable to generate at least one query based on the user input and to derive at least one predictive background query of the database displayed on the displayed first set of query results and prior to a user invoking any action within the user interface, the predictive module compares the at least one generated query to the at least one derived background query such that if the generated query corresponds to the at least one background query the user interface displays the another set of query results acquired from the at least one background query that correspond to the at least one generated query. | 12. A system for decreasing the perceived end user latency while interacting with a media database comprising: the media database storing metadata associated with media; a media manager in communication with at least one media player and operable to access the media database via at least one of a plurality of connections between the at least one media player and the media manager; the at least one media player each having a user interface operable to display a first set of query results and receive user input based on the displayed first set of query results, wherein each query result in the displayed first set of query results representing a user selectable object that navigates to another set of query results displayable by the user interface; and a predictive module operable to generate at least one query based on the user input and to derive at least one predictive background query of the database displayed on the displayed first set of query results and prior to a user invoking any action within the user interface, the predictive module compares the at least one generated query to the at least one derived background query such that if the generated query corresponds to the at least one background query the user interface displays the another set of query results acquired from the at least one background query that correspond to the at least one generated query. 16. The system of claim 12 , wherein the predictive module receives and stores an answer for each of the at least one background query. | 0.783287 |
2. The method according to claim 1 , further comprising: calculating a confidence factor of each of the registration candidate words, wherein the confidence factor represents a degree of probability with which the registration candidate word is registered in the category dictionary or probability with which the registration candidate word is added to the token-sequence comparison rule. | 2. The method according to claim 1 , further comprising: calculating a confidence factor of each of the registration candidate words, wherein the confidence factor represents a degree of probability with which the registration candidate word is registered in the category dictionary or probability with which the registration candidate word is added to the token-sequence comparison rule. 4. The method of claim 2 , wherein the calculating of the confidence factor uses information in a plurality of external dictionaries, which include a technical terminology dictionary and a general terms dictionary, and wherein the calculating of the confidence factor adds more points to a score of the confidence factor in cases where a character string in a token which matches the first or second regular expression exists in a vocabulary of the technical terminology dictionary than in cases where the character string exists in a vocabulary of the general terms dictionary. | 0.786276 |
13. The computer-implemented method of claim 12 , wherein the one or more locations associated with illegal activity comprises a plurality of distinct locations, and the at least one money laundering indicator requires that the first entity, uniquely associated with the first entity data item, accessed the financial account from at least two distinct locations in the plurality of distinct locations. | 13. The computer-implemented method of claim 12 , wherein the one or more locations associated with illegal activity comprises a plurality of distinct locations, and the at least one money laundering indicator requires that the first entity, uniquely associated with the first entity data item, accessed the financial account from at least two distinct locations in the plurality of distinct locations. 14. The computer-implemented method of claim 13 , wherein the at least one money laundering indicator requires that the first entity accessed the financial account from at least three distinct locations in the plurality of distinct locations in a specific order or pattern. | 0.959198 |
8. A system comprising: one or more processors; and one or more computer-readable media having instructions stored thereon that, when executed by the one or more processors, cause performance of operations comprising: providing a database of images and a textual description of the contents of a given image; receiving a search query from a user for retrieving an image associated with a subject matter of interest to the user from the database; evaluating the database including comparing the search query the textual description of the contents of a given image including automatically providing a plurality of images from the database to the user based on the query; receiving a selection of one of the plurality of images from the user; creating an association between the selected image and a concept including storing the association, wherein the concept is related to the subject matter of interest; after creating the association, receiving a request from another user for creating an image advertisement; determining that the request is related to the concept; suggesting the selected image for the image advertisement using the stored association and based at least in part on determining that the request is related to the concept; creating the image advertisement using the selected image; and storing the created image advertisement including storing the created image advertisement in association with the concept. | 8. A system comprising: one or more processors; and one or more computer-readable media having instructions stored thereon that, when executed by the one or more processors, cause performance of operations comprising: providing a database of images and a textual description of the contents of a given image; receiving a search query from a user for retrieving an image associated with a subject matter of interest to the user from the database; evaluating the database including comparing the search query the textual description of the contents of a given image including automatically providing a plurality of images from the database to the user based on the query; receiving a selection of one of the plurality of images from the user; creating an association between the selected image and a concept including storing the association, wherein the concept is related to the subject matter of interest; after creating the association, receiving a request from another user for creating an image advertisement; determining that the request is related to the concept; suggesting the selected image for the image advertisement using the stored association and based at least in part on determining that the request is related to the concept; creating the image advertisement using the selected image; and storing the created image advertisement including storing the created image advertisement in association with the concept. 13. The system of claim 8 , wherein: the textual description of the contents of the given image in the database comprises a title of the given image; and comparing the search query to the textual description of the contents of the given image comprises comparing the search query to the title of the given image. | 0.526081 |
12. A computer program product for establishing a multimodal personality for a multimodal application, the computer program product disposed upon a computer-readable storage device, the computer program product comprising computer program instructions capable of selecting, for use by the multimodal application, a vocal demeanor from a plurality of vocal demeanors, the vocal demeanor being characterized by a first attribute; selecting, for use by the multimodal application, a visual demeanor from a plurality of visual demeanors, the visual demeanor being characterized by a second attribute, wherein: the visual demeanor is selectable separately from the vocal demeanor; the visual demeanor is selected based on analyzing one or more aspects of a user's history; and the vocal and visual demeanors are selected such that the first attribute of the vocal demeanor matches the second attribute of the visual demeanor; and incorporating, by the multimodal application, the matching vocal and visual demeanors as a multimodal personality into the multimodal application, wherein the signal bearing medium comprises a recordable medium. | 12. A computer program product for establishing a multimodal personality for a multimodal application, the computer program product disposed upon a computer-readable storage device, the computer program product comprising computer program instructions capable of selecting, for use by the multimodal application, a vocal demeanor from a plurality of vocal demeanors, the vocal demeanor being characterized by a first attribute; selecting, for use by the multimodal application, a visual demeanor from a plurality of visual demeanors, the visual demeanor being characterized by a second attribute, wherein: the visual demeanor is selectable separately from the vocal demeanor; the visual demeanor is selected based on analyzing one or more aspects of a user's history; and the vocal and visual demeanors are selected such that the first attribute of the vocal demeanor matches the second attribute of the visual demeanor; and incorporating, by the multimodal application, the matching vocal and visual demeanors as a multimodal personality into the multimodal application, wherein the signal bearing medium comprises a recordable medium. 15. The computer program product of claim 12 wherein selecting a vocal demeanor comprises selecting a vocal demeanor in dependence upon visual properties of a history of a user's navigation among web sites. | 0.652066 |
1. A method for ability enhancement, the method comprising: by a computer system, receiving data representing speech signals from a voice conference amongst multiple speakers, wherein the multiple speakers are remotely located from one another, wherein each of the multiple speakers uses a separate conferencing device to participate in the voice conference; determining speaker-related information associated with the multiple speakers, based on the data representing speech signals from the voice conference; recording conference history information based on the speaker-related information, by recording indications of topics discussed during the voice conference by: performing speech recognition to convert the data representing speech signals into text; analyzing the text to identify frequently used terms or phrases; and determining the topics discussed during the voice conference based on the frequently used terms or phrases; audibly notifying a user to view the conference history information on a display device, wherein the user is notified in a manner that is not audible to at least some of the multiple speakers; and presenting, on the display device, at least some of the conference history information to the user; translating an utterance of one of the multiple speakers in a first language into a message in a second language, based on the speaker-related information, wherein the speaker related information is determined by automatically determining the second and the first language comprising steps of: concurrently or simultaneously applying multiple speech recognizers and using GPS information indicating the speakers' locations; and recording the message in the second language as part of the conference history information. | 1. A method for ability enhancement, the method comprising: by a computer system, receiving data representing speech signals from a voice conference amongst multiple speakers, wherein the multiple speakers are remotely located from one another, wherein each of the multiple speakers uses a separate conferencing device to participate in the voice conference; determining speaker-related information associated with the multiple speakers, based on the data representing speech signals from the voice conference; recording conference history information based on the speaker-related information, by recording indications of topics discussed during the voice conference by: performing speech recognition to convert the data representing speech signals into text; analyzing the text to identify frequently used terms or phrases; and determining the topics discussed during the voice conference based on the frequently used terms or phrases; audibly notifying a user to view the conference history information on a display device, wherein the user is notified in a manner that is not audible to at least some of the multiple speakers; and presenting, on the display device, at least some of the conference history information to the user; translating an utterance of one of the multiple speakers in a first language into a message in a second language, based on the speaker-related information, wherein the speaker related information is determined by automatically determining the second and the first language comprising steps of: concurrently or simultaneously applying multiple speech recognizers and using GPS information indicating the speakers' locations; and recording the message in the second language as part of the conference history information. 13. The method of claim 1 , wherein the recording conference history information based on the speaker-related information includes: as each of the multiple speakers takes a turn speaking during the voice conference, recording speaker-related information associated with the speaker. | 0.581526 |
1. An automated speech processing method comprising: using a speech-to-text (STT) engine for receiving an audio input and for converting the audio input to text data in a source language; using a machine translation (MT) engine for receiving the text data from the STT engine and for translating the text data to text data in a target language; using a caption engine for rendering the text data in the target language on a display device, including receiving metadata from the STT engine and the MT engine identifying defined characteristics of specific portions of the rendered text data in the target language including a defined confidence value representing the accuracy of the rendered text data based on both the accuracy of the converting the audio input to text data in the source language and the accuracy of translating the text data including interactions between the STT engine and MT engine comprising alignment information, and determining specific portions of the text data in the target language to which said defined characteristics, identified by the metadata from the STT engine, apply; and applying different visualization schemes based on color, font, size, underlining and italicization to different parts of the rendered text data based on the defined characteristics of the metadata. | 1. An automated speech processing method comprising: using a speech-to-text (STT) engine for receiving an audio input and for converting the audio input to text data in a source language; using a machine translation (MT) engine for receiving the text data from the STT engine and for translating the text data to text data in a target language; using a caption engine for rendering the text data in the target language on a display device, including receiving metadata from the STT engine and the MT engine identifying defined characteristics of specific portions of the rendered text data in the target language including a defined confidence value representing the accuracy of the rendered text data based on both the accuracy of the converting the audio input to text data in the source language and the accuracy of translating the text data including interactions between the STT engine and MT engine comprising alignment information, and determining specific portions of the text data in the target language to which said defined characteristics, identified by the metadata from the STT engine, apply; and applying different visualization schemes based on color, font, size, underlining and italicization to different parts of the rendered text data based on the defined characteristics of the metadata. 2. The method according to claim 1 , wherein the applying different visualization schemes includes applying a selected one of the visualization schemes to a selected part of the rendered text data that has a MT confidence score above a given threshold value. | 0.756121 |
16. A non-transitory computer program product comprising instructions, wherein a computer system implements a method in response to executing the instructions, the method comprising: collect a plurality of configurations from a plurality of computing resources, respectively; process the plurality of configurations to generate one or more rules, wherein the one or more rules is generated by an analyzer; analyze one or more first configurations out of the plurality of configurations using one or more rules to produce an analysis result, wherein each of the first configuration(s) defines a configuration of a respective computing resource; train a Bayesian classifier using the analysis result, wherein training the Bayesian classifier generates one or more weights, and the Bayesian classifier takes as an input the first configurations of the respective computing resources; classify a second configuration using the trained Bayesian classifier, wherein the trained Bayesian classifier uses the weight(s) when performing a classification, and; modify the trained Bayesian classifier in response to a modification of the classified second configuration, wherein the trained Bayesian classifier adjusts at least one weight in response to the modified Bayesian classifier. | 16. A non-transitory computer program product comprising instructions, wherein a computer system implements a method in response to executing the instructions, the method comprising: collect a plurality of configurations from a plurality of computing resources, respectively; process the plurality of configurations to generate one or more rules, wherein the one or more rules is generated by an analyzer; analyze one or more first configurations out of the plurality of configurations using one or more rules to produce an analysis result, wherein each of the first configuration(s) defines a configuration of a respective computing resource; train a Bayesian classifier using the analysis result, wherein training the Bayesian classifier generates one or more weights, and the Bayesian classifier takes as an input the first configurations of the respective computing resources; classify a second configuration using the trained Bayesian classifier, wherein the trained Bayesian classifier uses the weight(s) when performing a classification, and; modify the trained Bayesian classifier in response to a modification of the classified second configuration, wherein the trained Bayesian classifier adjusts at least one weight in response to the modified Bayesian classifier. 17. The computer program product of claim 16 , wherein analyzing the first configuration(s) comprises classifying the first configuration(s) using the one or more rules, and the analysis result comprises the classified first configuration(s). | 0.566509 |
1. A printing system for printing documents over a network, the printing system comprising: a processor; and a memory storing machine readable instructions, which when executed by the processor cause the processor to: receive, from a user, a document including content to be printed; ascertain whether the document is confidential, based on a determination as to whether text indicating that the document is confidential is present in the content to be printed; in response to ascertaining that the document is confidential, generate an authentication code corresponding to the document to provide print control of the document to authorized users, wherein the authorized users includes the user, and wherein the authentication code is a code to ascertain that the authorized users are authorized to print the document; and provide the authentication code to the authorized users to provide the print control. | 1. A printing system for printing documents over a network, the printing system comprising: a processor; and a memory storing machine readable instructions, which when executed by the processor cause the processor to: receive, from a user, a document including content to be printed; ascertain whether the document is confidential, based on a determination as to whether text indicating that the document is confidential is present in the content to be printed; in response to ascertaining that the document is confidential, generate an authentication code corresponding to the document to provide print control of the document to authorized users, wherein the authorized users includes the user, and wherein the authentication code is a code to ascertain that the authorized users are authorized to print the document; and provide the authentication code to the authorized users to provide the print control. 4. The printing system as claimed in claim 1 , wherein the processor marks the document as confidential in response to ascertaining that the document is confidential. | 0.662175 |
16. A system, comprising: a sentiment-analysis non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the system to: obtain a set of content items; generate a set of clauses from the set of content items; generate a set of n-grams from the set of clauses; use the set of n-grams to automatically extract a set of topics from the set of clauses in the set of content items; for each topic in the set of topics: automatically extract a set of attributes that provides a context for the topic from a subset of the content items containing the topic, wherein the set of attributes is extracted as a set of words in a vicinity of the topic contained in each clause in the set of clauses; obtain a refined set of attributes by removing from the set of attributes one or more high-frequency words that appear in the set of n-grams; use the refined set of attributes to obtain a set of sentiments associated with the topic; and aggregate the set of sentiments into a sentiment distribution for the topic; and a management non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the system to display the refined set of attributes in the context of the topic and the sentiment distribution for the topic to improve understanding of the set of content items by the user without requiring the user to manually analyze the set of content items. | 16. A system, comprising: a sentiment-analysis non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the system to: obtain a set of content items; generate a set of clauses from the set of content items; generate a set of n-grams from the set of clauses; use the set of n-grams to automatically extract a set of topics from the set of clauses in the set of content items; for each topic in the set of topics: automatically extract a set of attributes that provides a context for the topic from a subset of the content items containing the topic, wherein the set of attributes is extracted as a set of words in a vicinity of the topic contained in each clause in the set of clauses; obtain a refined set of attributes by removing from the set of attributes one or more high-frequency words that appear in the set of n-grams; use the refined set of attributes to obtain a set of sentiments associated with the topic; and aggregate the set of sentiments into a sentiment distribution for the topic; and a management non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the system to display the refined set of attributes in the context of the topic and the sentiment distribution for the topic to improve understanding of the set of content items by the user without requiring the user to manually analyze the set of content items. 20. The system of claim 16 , further comprising: using a statistical model to classify sentiments of each clause in the set of clauses that contain a given topic. | 0.556377 |
1. A computer implemented method for generating a qualified set of data, the method comprising: receiving, by at least one processor, an input set of data; determining, by the at least one processor analyzing the input set of data, a domain that characterizes a subject matter of the input set of data; computing, by extracting a common feature from the input set of data by the at least one processor, a probability that a specific user created a first portion of the input set of data; identifying, by the at least one processor, the first portion of the input set of data based, at least in part, on the first portion of the input set of data having the common feature; generating, by the at least one processor, based, at least in part, on the domain, on the probability and on the first portion of the input set of data having the common feature, a user identifier associated with the first portion of the input set of data; storing, by the at least one processor, the user identifier in a data repository; computing, by the at least one processor, based at least in part on the domain and the user identifier, a credibility measure; computing, by the at least one processor, based at least in part on the credibility measure, a quality factor associated with the first portion of the input set of data; generating, by the at least one processor, based at least in part on the quality factor exceeding a quality factor threshold, the qualified set of data comprising data, among the first portion of the input data, that exceeds the quality threshold; and outputting, by the at least one processor, the qualified set of data. | 1. A computer implemented method for generating a qualified set of data, the method comprising: receiving, by at least one processor, an input set of data; determining, by the at least one processor analyzing the input set of data, a domain that characterizes a subject matter of the input set of data; computing, by extracting a common feature from the input set of data by the at least one processor, a probability that a specific user created a first portion of the input set of data; identifying, by the at least one processor, the first portion of the input set of data based, at least in part, on the first portion of the input set of data having the common feature; generating, by the at least one processor, based, at least in part, on the domain, on the probability and on the first portion of the input set of data having the common feature, a user identifier associated with the first portion of the input set of data; storing, by the at least one processor, the user identifier in a data repository; computing, by the at least one processor, based at least in part on the domain and the user identifier, a credibility measure; computing, by the at least one processor, based at least in part on the credibility measure, a quality factor associated with the first portion of the input set of data; generating, by the at least one processor, based at least in part on the quality factor exceeding a quality factor threshold, the qualified set of data comprising data, among the first portion of the input data, that exceeds the quality threshold; and outputting, by the at least one processor, the qualified set of data. 8. The method of claim 1 , wherein the first portion of the input set of data includes a social network identifier associated with the common feature. | 0.59748 |
11. A system comprising at least one computer processor and at least one non-transitory computer storage device storing computer-executable instructions to implement a method for identifying elements of a system, the system comprising; a system element store comprising machine-readable representations of system models comprising system elements classified as a whole element of a whole-part relationship, an entity element of an entity-relation-entity relationship, a pair of entity elements of an entity-relation-entity relationship, or a relation element of an entity-relation-entity relationship; a query formulator configured to: electronically receive a graphical user interface input identifying a system model as a selected electronic representation of the system; extract corresponding system elements of the identified system model from the system element store in response to the graphical user interface input; automatically formulate a query from the extracted system elements, wherein the extracted system elements represent a set of system objectives; and a knowledge search engine configured to use the query to: search one or more merelogical and functional relationship databases containing one or more general document repositories that are semantically indexed and contain non-hierarchical database structures and additional one or more knowledge bases selected from the group consisting of: one or more locally accessible knowledge bases, one or more knowledge bases containing corporate knowledge, and one or more publicly accessible knowledge bases; retrieve component elements useful to form the extracted system elements and identify functional interactions between the component elements, wherein the component elements represent parts of entity-relationship-entity relationships represented in the identified system model; and output the retrieved component elements and identified functional interactions as search results in association with the extracted system elements, wherein the search results are represented as user-selectable options representing design alternatives to satisfy the set of system objectives of the system. | 11. A system comprising at least one computer processor and at least one non-transitory computer storage device storing computer-executable instructions to implement a method for identifying elements of a system, the system comprising; a system element store comprising machine-readable representations of system models comprising system elements classified as a whole element of a whole-part relationship, an entity element of an entity-relation-entity relationship, a pair of entity elements of an entity-relation-entity relationship, or a relation element of an entity-relation-entity relationship; a query formulator configured to: electronically receive a graphical user interface input identifying a system model as a selected electronic representation of the system; extract corresponding system elements of the identified system model from the system element store in response to the graphical user interface input; automatically formulate a query from the extracted system elements, wherein the extracted system elements represent a set of system objectives; and a knowledge search engine configured to use the query to: search one or more merelogical and functional relationship databases containing one or more general document repositories that are semantically indexed and contain non-hierarchical database structures and additional one or more knowledge bases selected from the group consisting of: one or more locally accessible knowledge bases, one or more knowledge bases containing corporate knowledge, and one or more publicly accessible knowledge bases; retrieve component elements useful to form the extracted system elements and identify functional interactions between the component elements, wherein the component elements represent parts of entity-relationship-entity relationships represented in the identified system model; and output the retrieved component elements and identified functional interactions as search results in association with the extracted system elements, wherein the search results are represented as user-selectable options representing design alternatives to satisfy the set of system objectives of the system. 16. The system according to claim 11 , further comprising one or more functional modeling tools. | 0.538839 |
12. The computer-implemented method of claim 2 , wherein said browse relevance data includes category fit data. | 12. The computer-implemented method of claim 2 , wherein said browse relevance data includes category fit data. 13. The computer-implemented method of claim 12 , wherein said category fit data includes an indication of users. | 0.964054 |
15. A machine implemented method comprising: detecting a change in a user's set of one or more databases; responsive to detecting the change in the user's set of one or more databases, obtaining words from the user's set of one or more databases; and processing, using a set of one or more pronunciation guessers, the words from the user's set of one or more databases, the processing producing additional phonetic data derived from the words, the additional phonetic data forming an extended phonetic dictionary for the user; receiving a speech input; performing speech recognition on the speech input to determine phonemes in the speech input and to determine a set of one or more matches using the determined phonemes, a phonetic dictionary, and the extended phonetic dictionary: determining a best match from the set of one or more matches; and providing an output associated with the best match. | 15. A machine implemented method comprising: detecting a change in a user's set of one or more databases; responsive to detecting the change in the user's set of one or more databases, obtaining words from the user's set of one or more databases; and processing, using a set of one or more pronunciation guessers, the words from the user's set of one or more databases, the processing producing additional phonetic data derived from the words, the additional phonetic data forming an extended phonetic dictionary for the user; receiving a speech input; performing speech recognition on the speech input to determine phonemes in the speech input and to determine a set of one or more matches using the determined phonemes, a phonetic dictionary, and the extended phonetic dictionary: determining a best match from the set of one or more matches; and providing an output associated with the best match. 27. The method of claim 15 , further comprising: identifying a portion of the determined phonemes using contextual information associated with the speech input, wherein performing speech recognition on the speech input to determine the set of one or more matches includes performing speech recognition on the portion of the determined phonemes using the extended phonetic dictionary. | 0.616034 |
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