HHousen/ParaSCI · Datasets at Hugging Face

sentence1 stringlengths 16 446	sentence2 stringlengths 14 436
complex networks play a crucial role in a wide range of practical systems of technological , biological , and social importance .	networks of coupled dynamical systems play an important role for all branches of science .
we find that our result on the charge radius is an excellent agreement with the data as well as the particle data group .	we can find that below the open charm threshold , our theoretical calculations from the nrqm model excellently agree with the lattice spectroscopy and experiments .
sen conjectured that there is a nonperturbative vacuum where d25-branes decay and only closed string excitations exist .	sen has conjectured that there is a minimum of the tachyon potential which describes the closed string vacuum without any d-brane .
the reading of this work requires some familiarity with model category techniques .	the reading of this paper requires general knowledge in category theory .
a geodesic is a unit-speed shortest curve .	the other geodesic is the reflection of this one along γ , according to the laws of geometric optics .
gugelmann et al prove non-vanishing clustering and a low variation of the clustering coefficient .	gugelmann et al analyzed this model theoretically and proved a low variation of the clustering coefficient for fixed parameters .
as realized by krichever and novikov there is a weaker concept , an almost-grading , which to a large extend is a valuable replacement of a honest grading .	as realized by krichever and novikov there is a weaker concept , an almost-grading which to a large extend is a valuable replacement of a honest grading .
the lightest neutralino is the lightest eigenvalue of this , and may be the lsp .	the neutralino is a majorana particle and therefore its own antiparticle .
deep convolutional neural networks have achieved significant success in a wide range of studies .	deep neural networks have been widely applied in various fields , including computer vision he et al , among many others .
motivated by the resource allocation process taking place in networks , zhou et al propose a new similarity measure , which has great performance in six representative networks drawn from different fields .	motivated by the resource allocation process taking place in networks , zhou et al review the existing similarity measures and propose a new similarity measure , which has great performance in several representative networks drawn from different fields .
local systems of vertex operators , vertex superalgebras and modules .	twisted representations of vertex operator algebras .
the siamese network was trained using the adam algorithm for 30 iterations .	the network was trained to minimize the categorical cross-entropy using adam was used to prevent overfitting .
the non-imaging hpgspc consists of a single unit with a collimator that remained on-source during the gps observations .	the non-imaging hpgspc consists of a single unit with a collimator that remained on-source during the entire observation .
hu et al propose the squeezeand-excitation block that adaptively recalibrates channelwise feature responses by explicitly modelling interdependencies between channels .	hu et al proposed squeezeand-excitation block to model channel-wise relationships to obtain significant performance improvement for image classification .
classically , a popular online alternative to back-propagation of errors was real-time recurrent learning , which employs forward-mode differentiation to compute gradients .	classically , a well-known online alternative to back-propagation of errors was real-time recurrent learning , which employs forward-mode differentiation to compute gradients .
the analysis was based on a next-toleading order analysis assuming the other parton distributions were well described by contemporaneous global fitsand that nuclear corrections for deuterium are small .	the nusea analysis was based on a next-to-leading order analysis assuming the other parton distributions were well described by contemporaneous global fitsand that nuclear corrections for deuterium are small .
the data were calibrated , continuum subtracted , and imaged using the miriad software package .	the data were reduced , edited , and imaged using standard procedures within the miriad software package .
in fact , an analogous phenomenon exists in serial manipulators , which can move from one inverse kinematic solution to another without meeting a singularity .	in fact , an analogous phenomenon exists in serial manipulators that can change their posture without meeting a singularity in general , but not under special geometric simplification .
an orbifold is a topological space modeled on quotient spaces of a finite group actions .	a smooth orbifold with a riemannian structure is called a riemannian orbifold .
convolutional neural networks have achieved superior performance in many visual tasks , such as object classification and detection .	are effective in several computer vision tasks such as image segmentation , among others .
physical layer network coding is a technique which allows multiple sources to transmit on the same carrier frequency , with the user data being restored at the hub .	physical-layer network coding is a transmission scheme which reduces the number of time slots required for information exchange .
we employed the perdew-burke-ernzerhof exchange correlation functional in the generalized gradient approximation .	we adopted the projector augmented wave potentials and the generalized gradient approximation within the perdew-burke-ernzerhof exchange- correlation function .
heegaard floer invariants and tight contact three-manifolds .	heegaard floer homology and alternating knots .
the recent success of deep learning has shown that a deep architecture in conjunction with abundant quantities of labeled training data is the most promising approach for most vision tasks .	furthermore , recent advances in supervised deep learning have shown that training over parameterised models on large datasets significantly increases performance .
the new space obtained in this way is called an orbifold .	for an orbifold , there is a notion of an orbifold embedding , which is more general than the one of sub-orbifolds .
in 2000 , ahlswede , cai , li , and yeung introduced the field of network coding and showed that coding can outperform routing in directed acyclic networks .	in 2000 , ahlswede et al introduced the network coding scheme to the problem of communicating information in networks by allowing intermediate nodes to code on the incoming packets .
the part which describes the strong nuclear force is called quantum chromodynamics .	quantum chromodynamics is the theory of strong interaction in terms of quark and gluon degrees of freedom .
well-known unimodal hashing methods include locality-sensitive hashing , iterative quantization , supervised hashing with kernels , deep supervised hashing and supervised semantics-preserving deep hashing .	representative pairwise label based hashing methods include minimal loss hashing , supervised hashing with kernels , latent factor hashing , fash supervised hashing .
convolutional neural networks have achieved superior performance in various tasks .	deep neural networks have shown improvement in state-of-the-art in different tasks , such as image classification .
in recent years , deep learning techniques have demonstrated outstanding performance on numerous tasks ranging from object recognition to natural language processing .	deep learning has recently seen enormous success in challenging problems such as object recognition in natural images , automatic speech recognition and machine translation .
among these many parallel clustering algorithms have been proposed .	many parallel clustering versions based on these algorithms have been proposed in the literature .
a perdew-burke-ernzerhof form of generalized gradient approximation was employed as the exchange-correlation functional .	the exchange correlation energy was described by the generalized gradient approximation using the perdew-burke-ernzerhof functional .
deep neural networks have been significantly successful in many artificial intelligence tasks such as im- age classification .	in recent years , deep neural networks , especially convolutional neural networks , have demonstrated highly competitive results on object recognition and image classification .
the following observation is easy to prove .	the above argument yields the following more general result .
characterize those rings which have zero divisiors but no s-zero divisors .	characterize those rings zn which are s-weakly boolean .
however , for many vision problems requiring dense , continuous-valued outputs , it is ei- ther impractical or expensive to gather ground truth data .	however , for many vision problems which require dense continuous-valued outputs , it is either impractical or tedious to gather ground truth data .
li et al indicated that linear network coding with finite alphabet size is sufficient for multicast .	li , et al demonstrated that linear network coding over a finite field is enough to attain multicast capacity .
another application of the thermal fuse model is damage by electro-migration of polycrystalline metal films .	another application of the thermal fuse model is the damage by electromigration of polycristalline metal films .
if the orbit is a horseshoe where the inner part has negative and the outer part positive sense of rotation , the soliton is unstable and desintegrates very quickly .	when the mass parameters of the puncture are set to zero , x is nilpotent , and the orbit is called a nilpotent orbit .
tensor scale is a measure of shape feature , which represents thickness , orientation and anisotropy .	the tensor scale is a measure of shape features that represents thickness , orientation , and anisotropy .
the results in show that the structured condition number can be much tighter than the unstructured one in some cases .	the results in show that the structured condition number can be much tighter than the unstructured one .
finally , we fit the rgs spectrum with emission models in the xspec package .	we fit the observed spectra using the xspec software package and a vapec plasma spectral model .
cell-centred finite volume schemes can be extended to general meshes and anisotropic permeability fields using multipoint flux approximations following the ideas of .	cell-centered finite volume schemes have been extended to general meshes and anisotropic permeability fields using multipoint flux approximations in .
li et al designed a filter pairing neural network to jointly handle misalignment and geometric transformations .	li et al describe a filter pairing network to model translation , occlusion and background clutter in its architecture .
over the last decade it has turned out that networks corresponding to realistic systems can be highly non-trivial , characterised by a low average distance combined with a high average clustering coefficient .	networks corresponding to realistic systems can be highly non-trivial , characterized by a low average distance combined with a high average clustering coefficient .
now , let us compute the coupling constants of the constructed factors .	let us use the above computation of the coupling constant .
deep neural networks have produced state-ofthe-art results in applications such as computer vision .	convolutional neural networks have recently exhibited great performance in various fields such as computer vision .
we employ simulated data as well as the mnist handwritten digit data set .	we evaluate our method on the mnist dataset , using a lenet-like architecture .
in fact , while testing the non-negativity of a polynomial is np-hard in general , the existence of an sos decomposition can be checked in polynomial time by solving a semidefinite program .	moreover , unlike the property of nonnegativity that is np-hard to check , existence of an sos decomposition can be cast as a semidefinite program , which can be solved efficiently .
this t -duality is a mirror symmetry in the two-dimensional sense .	this property is called duality and more exactly formulated as follows .
consequently in the 5d lagrangian there is a counter term which cancels the above log divergence .	the lagrangian for this is a natural generalisation of , with the addition of supersymmetry .
geometric deviations from the reference plane can be estimated either from a precomputed point cloud , directly from image data .	geometric deviations from this reference plane are often estimated either from image data directly .
one reason of complexity is that biochemical reactions involved in gene expression usually possess multiple different time scales , spanning many orders of magnitude .	in fact , the biochemical reactions involved in gene expression have multiple different time scales , spanning many orders of magnitude .
tilde denotes the charge conjugate spinors .	the tilde is to denote the model-dependence of this gap .
however , since gravitational radiation is the only decay channel for string loops they will live longer 8 thus as we decrease gµ there are more but smaller cusps .	however , since gravitational radiation is the only decay channel for string loops they will live longer 12 thus as we decrease gµ there are more but smaller cusps .
one of them is the lift of the non-supersymmetric ads minimum .	one of the them is the lift of the non-supersymmetric ads vacuum .
in the literature , it has been shown that stateof-the-art neural networks are vulnerable towards adversarial examples .	it has previously been shown that adversarial examples may be shared across different machine learning models .
the converse is a straightforward exercise and is left to the reader .	the converse is the content of theorem 11 18 below .
tekin et al rely on an auto-encoder to learn high-dimensional latent pose representation and regress 3d poses from 2d images .	tekin et al proposed exploiting motion information from consecutive frames and applied a deep learning network to regress the 3d pose .
the aim of this paper is to prove the following theorem .	to prove this fact we need the following theorem .
measures used to weigh data instances was the maximum mean discrepancy , which computed the divergence between the data distributions in the two domains .	one of the most popular measures used to weigh data instances , used in , was the maximum mean discrepancy calculated between the distributions in different domains .
reinforcement learning is a field of machine learning that addresses the problems of how to behave in an environment by performing certain actions and observing the reward from those actions .	reinforcement learning is a branch of machine learning concerned with learning a set of actions , through interactions with an environment , so as to maximize a numerical reward .
neural networks have achieved state-of-the-art results in a wide variety of supervised learning tasks , such as image recognition .	neural networks proved to be extremely effective in solving a broad variety of problems in computer vision , speech recognition and natural language processing .
may we remind that one of the axioms is the information additivity .	these three axioms consist of the annihilation pole condition .
the higgs width is a very interesting test of the model , as it is uniquely fixed below 400 gev , one year with a muon collider will extend this to 900 gev , and further with more luminosity .	the higgs field is the responsible for triggering this ewsb mechanism .
the vertex correction suppress the singlet pairing states .	the vertex correction suppresses the p-wave pairing .
comparison of mean projected rotational velocities of the estimates .	comparison of projected rotational velocities estimated using the ft and pf methodologies .
the corresponding reggeon exchange is called the bfkl , perturbative or hard pomeron .	the corresponding quasi-particle is called the pomeron .
at the fixed point , all the modes become stabilized .	in particular , at the fixed point , all the modes become stabilized .
for example , wang et al show that scaling up topic models to 1 million topics leads to significant performance gain on various tasks such as advertisement and recommendation .	for example , wang et al show that learning 1 million topics can lead to significant performance gain on various tasks such as advertisement and recommendation .
in some applications , deep neural networks have been shown to outperform conventional machine learning methods and even human experts .	deep convolutional neural networks have made significant progress in classification problems , which have shown to generate good results when provided sufficient data .
schon , dynamics of interfacial pattern for mation .	schon , string models of interfacial pattern formation .
and indeed it is not so hard to define a simple extension of system f that fits lineal -just by providing the needed rules to type additions , scalar products and the null vector in some trivial manner , as we did in .	and indeed it is not so hard to define a simple extension of system f that fits linealjust by providing the needed rules to type additions , scalar products and the null vector in some trivial manner , as we did in .
generative adversarial networks have shown excellent performance in a wide range of computer vision tasks such as image synthesis .	generative adversarial networks have achieved remarkable success within short time for diverse tasks of generating synthetic data , such as images .
however , because of their long wavelengths , apsidal waves are standing rather than traveling disturbances in protoplanetary disks .	however , apsidal waves have such long wavelengths that they do not propagate in protoplanetary disks .
in this paper we also study asymptotic behavior of permutations avoiding patterns , but we consider consecutive patterns , occurrences of which correspond to .	in this paper we also study asymptotic behavior of permutations avoiding patterns , but we consider consecutive patterns , occurrences of which correspond to factors , rather than subsequences , anywhere in permutations .
carlet and guilley applied lcd codes in side-channel attacks and fault non-invasive attacks .	carlet and guilley studied applications of binary lcd codes against side-channel attacks and fault injection attacks .
recently , deep convolutional neural networks have achieved great successes in computer vision topics such as image classification .	convolutional neural networks have achieved significant progress in computer vision tasks such as image classification .
the qualitative results on the pascal-person-part dataset are visualized in fig .	the qualitative results on the pascal-person-part dataset and the cihp dataset are visualized in fig .
convolutional neural networks have seen tremendous success across different problems including image classification .	deep neural networks have seen great success in many cognitive applications such as image classification .
hill et al consider presence of the query terms in method signatures or field signatures as an indicator of their relevance , and suggest natural language phrases from them as reformulated queries .	hill et al consider the presence of query terms in the method or field signatures as an indicator of their relevance , and suggest natural language phrases from them as reformulated queries .
contraction is the only tool for such a decomposition .	by , the only 0-operad with a contraction is the one-element monoid , so a weak 0-category is just a set .
a foliation is a lamination for which the union of the leaves is all of m and a geodesic lamination is a lamination whose leaves are geodesics .	is open in in case when supp is called a strictly vertical foliation .
in fact , multiuser superposition transmission , a two-user downlink scenario of noma , has been investigated for the third generation partnership project longterm evolution advanced networks .	furthermore , a two-user downlink scenario of noma , termed multiuser superposition transmission , has been incorporated in the 3rd generation partnership project long term evolution-advanced .
in our previous work , we characterized the network capacity region of multi-queue multi-server systems with time varying on-off channels .	in our previous work in , we characterized the network stability region of multi-queue multi-server systems with time varying on-off channels .
a solution is said to be universal if the initial distribution is arbitrary .	the solution is universal in the sense that the initial distribution may be arbitrary .
however , recent researches have shown that deep learning models are vulnerable to adversarial examples .	as a learning-based model , deep networks are also vulnerable to adversarial examples .
once the attackers are identified , all the packets from those nodes will be blocked .	once the ddos attackers are identified , all the packets from those nodes will be discarded .
this does not affect the ghost equation , due to the non-renormalization of the ghost-gluon vertex .	this furthermore implies that the relation receives corrections on top of any corrections from the ghost-gluon vertex .
nonlinear dynamics tells us that at low p most of the motion takes place on what is called the primary zone of phase space .	the phase space is a non-compact three-dimensional space .
two-tone spectroscopy of the transmon-resonator system .	two-tone spectroscopy of autler-townes splitting .
intertwining operators for semisimple groups .	natural kernels on pseudo-riemannian symmetric spaces .
the existence of a many-body localized phase has been recently proven rigorously for one-dimensional systems on a lattice with short-range interactions .	in this context , the limited evidence from perturbative approaches supports the persistence of a many-body localized phase for one-dimensional spin systems in the presence of weak interactions .
in , a dof of as n log p bits , where l is the number of taps and p is the total available transmit powershowed that the maximum number of dof is achievable with limited feedback in an n -user mimo ic if the feedback size scales with the snr .	in , it is shown that the maximum number of dof , k 2 , is achievable with limited feedback in a k-transmitter frequency-selective siso ic if the feedback size is scaled as klog p bits where l is the number of taps and p is transmit power .
zhao et al in introduced a pyramid pooling module , that can better grasp the context of the input image .	zhao et al design a pyramid pooling module in fcn to exploit the capability of global context information .
we use mini-batch stochastic gradient descent with adam algorithm to optimize the neural network .	we train the hyper-parameters of the network using minibatch training using the adam update rule .
the perdew , burke and ernzerhof generalized gradient approximation is used with with a cut-off energy of 533 ev .	the electron exchange correlation potential is treated with the generalized gradient approximation of the perdew-bruke-ernzerhof functional .
we have also applied our model to the concordance model of cosmology .	we have also discussed the application of our model to the concordance model of cosmology .
for fair comparisons , the final segmentation results are refined by densecrf .	for fair comparison , we apply post-processing over the results from p-net with crf .
similarly , the values of secondary evaluation index cc are classified into three categories namely very good , good and average .	therefore , the values of the secondary evaluation index ic are classified into two categories namely very good and good and hence can be ordered .

complex networks play a crucial role in a wide range of practical systems of technological , biological , and social importance .

networks of coupled dynamical systems play an important role for all branches of science .

we find that our result on the charge radius is an excellent agreement with the data as well as the particle data group .

we can find that below the open charm threshold , our theoretical calculations from the nrqm model excellently agree with the lattice spectroscopy and experiments .

sen conjectured that there is a nonperturbative vacuum where d25-branes decay and only closed string excitations exist .

sen has conjectured that there is a minimum of the tachyon potential which describes the closed string vacuum without any d-brane .

the reading of this work requires some familiarity with model category techniques .

the reading of this paper requires general knowledge in category theory .

a geodesic is a unit-speed shortest curve .

the other geodesic is the reflection of this one along γ , according to the laws of geometric optics .

gugelmann et al prove non-vanishing clustering and a low variation of the clustering coefficient .

gugelmann et al analyzed this model theoretically and proved a low variation of the clustering coefficient for fixed parameters .

as realized by krichever and novikov there is a weaker concept , an almost-grading , which to a large extend is a valuable replacement of a honest grading .

as realized by krichever and novikov there is a weaker concept , an almost-grading which to a large extend is a valuable replacement of a honest grading .

the lightest neutralino is the lightest eigenvalue of this , and may be the lsp .

the neutralino is a majorana particle and therefore its own antiparticle .

deep convolutional neural networks have achieved significant success in a wide range of studies .

deep neural networks have been widely applied in various fields , including computer vision he et al , among many others .

motivated by the resource allocation process taking place in networks , zhou et al propose a new similarity measure , which has great performance in six representative networks drawn from different fields .

motivated by the resource allocation process taking place in networks , zhou et al review the existing similarity measures and propose a new similarity measure , which has great performance in several representative networks drawn from different fields .

local systems of vertex operators , vertex superalgebras and modules .

twisted representations of vertex operator algebras .

the siamese network was trained using the adam algorithm for 30 iterations .

the network was trained to minimize the categorical cross-entropy using adam was used to prevent overfitting .

the non-imaging hpgspc consists of a single unit with a collimator that remained on-source during the gps observations .

the non-imaging hpgspc consists of a single unit with a collimator that remained on-source during the entire observation .

hu et al propose the squeezeand-excitation block that adaptively recalibrates channelwise feature responses by explicitly modelling interdependencies between channels .

hu et al proposed squeezeand-excitation block to model channel-wise relationships to obtain significant performance improvement for image classification .

classically , a popular online alternative to back-propagation of errors was real-time recurrent learning , which employs forward-mode differentiation to compute gradients .

classically , a well-known online alternative to back-propagation of errors was real-time recurrent learning , which employs forward-mode differentiation to compute gradients .

the analysis was based on a next-toleading order analysis assuming the other parton distributions were well described by contemporaneous global fitsand that nuclear corrections for deuterium are small .

the nusea analysis was based on a next-to-leading order analysis assuming the other parton distributions were well described by contemporaneous global fitsand that nuclear corrections for deuterium are small .

the data were calibrated , continuum subtracted , and imaged using the miriad software package .

the data were reduced , edited , and imaged using standard procedures within the miriad software package .

in fact , an analogous phenomenon exists in serial manipulators , which can move from one inverse kinematic solution to another without meeting a singularity .

in fact , an analogous phenomenon exists in serial manipulators that can change their posture without meeting a singularity in general , but not under special geometric simplification .

an orbifold is a topological space modeled on quotient spaces of a finite group actions .

a smooth orbifold with a riemannian structure is called a riemannian orbifold .

convolutional neural networks have achieved superior performance in many visual tasks , such as object classification and detection .

are effective in several computer vision tasks such as image segmentation , among others .

physical layer network coding is a technique which allows multiple sources to transmit on the same carrier frequency , with the user data being restored at the hub .

physical-layer network coding is a transmission scheme which reduces the number of time slots required for information exchange .

we employed the perdew-burke-ernzerhof exchange correlation functional in the generalized gradient approximation .

we adopted the projector augmented wave potentials and the generalized gradient approximation within the perdew-burke-ernzerhof exchange- correlation function .

heegaard floer invariants and tight contact three-manifolds .

heegaard floer homology and alternating knots .

the recent success of deep learning has shown that a deep architecture in conjunction with abundant quantities of labeled training data is the most promising approach for most vision tasks .

furthermore , recent advances in supervised deep learning have shown that training over parameterised models on large datasets significantly increases performance .

the new space obtained in this way is called an orbifold .

for an orbifold , there is a notion of an orbifold embedding , which is more general than the one of sub-orbifolds .

in 2000 , ahlswede , cai , li , and yeung introduced the field of network coding and showed that coding can outperform routing in directed acyclic networks .

in 2000 , ahlswede et al introduced the network coding scheme to the problem of communicating information in networks by allowing intermediate nodes to code on the incoming packets .

the part which describes the strong nuclear force is called quantum chromodynamics .

quantum chromodynamics is the theory of strong interaction in terms of quark and gluon degrees of freedom .

well-known unimodal hashing methods include locality-sensitive hashing , iterative quantization , supervised hashing with kernels , deep supervised hashing and supervised semantics-preserving deep hashing .

representative pairwise label based hashing methods include minimal loss hashing , supervised hashing with kernels , latent factor hashing , fash supervised hashing .

convolutional neural networks have achieved superior performance in various tasks .

deep neural networks have shown improvement in state-of-the-art in different tasks , such as image classification .

in recent years , deep learning techniques have demonstrated outstanding performance on numerous tasks ranging from object recognition to natural language processing .

deep learning has recently seen enormous success in challenging problems such as object recognition in natural images , automatic speech recognition and machine translation .

among these many parallel clustering algorithms have been proposed .

many parallel clustering versions based on these algorithms have been proposed in the literature .

a perdew-burke-ernzerhof form of generalized gradient approximation was employed as the exchange-correlation functional .

the exchange correlation energy was described by the generalized gradient approximation using the perdew-burke-ernzerhof functional .

deep neural networks have been significantly successful in many artificial intelligence tasks such as im- age classification .

in recent years , deep neural networks , especially convolutional neural networks , have demonstrated highly competitive results on object recognition and image classification .

the following observation is easy to prove .

the above argument yields the following more general result .

characterize those rings which have zero divisiors but no s-zero divisors .

characterize those rings zn which are s-weakly boolean .

however , for many vision problems requiring dense , continuous-valued outputs , it is ei- ther impractical or expensive to gather ground truth data .

however , for many vision problems which require dense continuous-valued outputs , it is either impractical or tedious to gather ground truth data .

li et al indicated that linear network coding with finite alphabet size is sufficient for multicast .

li , et al demonstrated that linear network coding over a finite field is enough to attain multicast capacity .

another application of the thermal fuse model is damage by electro-migration of polycrystalline metal films .

another application of the thermal fuse model is the damage by electromigration of polycristalline metal films .

if the orbit is a horseshoe where the inner part has negative and the outer part positive sense of rotation , the soliton is unstable and desintegrates very quickly .

when the mass parameters of the puncture are set to zero , x is nilpotent , and the orbit is called a nilpotent orbit .

tensor scale is a measure of shape feature , which represents thickness , orientation and anisotropy .

the tensor scale is a measure of shape features that represents thickness , orientation , and anisotropy .

the results in show that the structured condition number can be much tighter than the unstructured one in some cases .

the results in show that the structured condition number can be much tighter than the unstructured one .

finally , we fit the rgs spectrum with emission models in the xspec package .

we fit the observed spectra using the xspec software package and a vapec plasma spectral model .

cell-centred finite volume schemes can be extended to general meshes and anisotropic permeability fields using multipoint flux approximations following the ideas of .

cell-centered finite volume schemes have been extended to general meshes and anisotropic permeability fields using multipoint flux approximations in .

li et al designed a filter pairing neural network to jointly handle misalignment and geometric transformations .

li et al describe a filter pairing network to model translation , occlusion and background clutter in its architecture .

over the last decade it has turned out that networks corresponding to realistic systems can be highly non-trivial , characterised by a low average distance combined with a high average clustering coefficient .

networks corresponding to realistic systems can be highly non-trivial , characterized by a low average distance combined with a high average clustering coefficient .

now , let us compute the coupling constants of the constructed factors .

let us use the above computation of the coupling constant .

deep neural networks have produced state-ofthe-art results in applications such as computer vision .

convolutional neural networks have recently exhibited great performance in various fields such as computer vision .

we employ simulated data as well as the mnist handwritten digit data set .

we evaluate our method on the mnist dataset , using a lenet-like architecture .

in fact , while testing the non-negativity of a polynomial is np-hard in general , the existence of an sos decomposition can be checked in polynomial time by solving a semidefinite program .

moreover , unlike the property of nonnegativity that is np-hard to check , existence of an sos decomposition can be cast as a semidefinite program , which can be solved efficiently .

this t -duality is a mirror symmetry in the two-dimensional sense .

this property is called duality and more exactly formulated as follows .

consequently in the 5d lagrangian there is a counter term which cancels the above log divergence .

the lagrangian for this is a natural generalisation of , with the addition of supersymmetry .

geometric deviations from the reference plane can be estimated either from a precomputed point cloud , directly from image data .

geometric deviations from this reference plane are often estimated either from image data directly .

one reason of complexity is that biochemical reactions involved in gene expression usually possess multiple different time scales , spanning many orders of magnitude .

in fact , the biochemical reactions involved in gene expression have multiple different time scales , spanning many orders of magnitude .

tilde denotes the charge conjugate spinors .

the tilde is to denote the model-dependence of this gap .

however , since gravitational radiation is the only decay channel for string loops they will live longer 8 thus as we decrease gµ there are more but smaller cusps .

however , since gravitational radiation is the only decay channel for string loops they will live longer 12 thus as we decrease gµ there are more but smaller cusps .

one of them is the lift of the non-supersymmetric ads minimum .

one of the them is the lift of the non-supersymmetric ads vacuum .

in the literature , it has been shown that stateof-the-art neural networks are vulnerable towards adversarial examples .

it has previously been shown that adversarial examples may be shared across different machine learning models .

the converse is a straightforward exercise and is left to the reader .

the converse is the content of theorem 11 18 below .

tekin et al rely on an auto-encoder to learn high-dimensional latent pose representation and regress 3d poses from 2d images .

tekin et al proposed exploiting motion information from consecutive frames and applied a deep learning network to regress the 3d pose .

the aim of this paper is to prove the following theorem .

to prove this fact we need the following theorem .

measures used to weigh data instances was the maximum mean discrepancy , which computed the divergence between the data distributions in the two domains .

one of the most popular measures used to weigh data instances , used in , was the maximum mean discrepancy calculated between the distributions in different domains .

reinforcement learning is a field of machine learning that addresses the problems of how to behave in an environment by performing certain actions and observing the reward from those actions .

reinforcement learning is a branch of machine learning concerned with learning a set of actions , through interactions with an environment , so as to maximize a numerical reward .

neural networks have achieved state-of-the-art results in a wide variety of supervised learning tasks , such as image recognition .

neural networks proved to be extremely effective in solving a broad variety of problems in computer vision , speech recognition and natural language processing .

may we remind that one of the axioms is the information additivity .

these three axioms consist of the annihilation pole condition .

the higgs width is a very interesting test of the model , as it is uniquely fixed below 400 gev , one year with a muon collider will extend this to 900 gev , and further with more luminosity .

the higgs field is the responsible for triggering this ewsb mechanism .

the vertex correction suppress the singlet pairing states .

the vertex correction suppresses the p-wave pairing .

comparison of mean projected rotational velocities of the estimates .

comparison of projected rotational velocities estimated using the ft and pf methodologies .

the corresponding reggeon exchange is called the bfkl , perturbative or hard pomeron .

the corresponding quasi-particle is called the pomeron .

at the fixed point , all the modes become stabilized .

in particular , at the fixed point , all the modes become stabilized .

for example , wang et al show that scaling up topic models to 1 million topics leads to significant performance gain on various tasks such as advertisement and recommendation .

for example , wang et al show that learning 1 million topics can lead to significant performance gain on various tasks such as advertisement and recommendation .

in some applications , deep neural networks have been shown to outperform conventional machine learning methods and even human experts .

deep convolutional neural networks have made significant progress in classification problems , which have shown to generate good results when provided sufficient data .

schon , dynamics of interfacial pattern for mation .

schon , string models of interfacial pattern formation .

and indeed it is not so hard to define a simple extension of system f that fits lineal -just by providing the needed rules to type additions , scalar products and the null vector in some trivial manner , as we did in .

and indeed it is not so hard to define a simple extension of system f that fits linealjust by providing the needed rules to type additions , scalar products and the null vector in some trivial manner , as we did in .

generative adversarial networks have shown excellent performance in a wide range of computer vision tasks such as image synthesis .

generative adversarial networks have achieved remarkable success within short time for diverse tasks of generating synthetic data , such as images .

however , because of their long wavelengths , apsidal waves are standing rather than traveling disturbances in protoplanetary disks .

however , apsidal waves have such long wavelengths that they do not propagate in protoplanetary disks .

in this paper we also study asymptotic behavior of permutations avoiding patterns , but we consider consecutive patterns , occurrences of which correspond to .

in this paper we also study asymptotic behavior of permutations avoiding patterns , but we consider consecutive patterns , occurrences of which correspond to factors , rather than subsequences , anywhere in permutations .

carlet and guilley applied lcd codes in side-channel attacks and fault non-invasive attacks .

carlet and guilley studied applications of binary lcd codes against side-channel attacks and fault injection attacks .

recently , deep convolutional neural networks have achieved great successes in computer vision topics such as image classification .

convolutional neural networks have achieved significant progress in computer vision tasks such as image classification .

the qualitative results on the pascal-person-part dataset are visualized in fig .

the qualitative results on the pascal-person-part dataset and the cihp dataset are visualized in fig .

convolutional neural networks have seen tremendous success across different problems including image classification .

deep neural networks have seen great success in many cognitive applications such as image classification .

hill et al consider presence of the query terms in method signatures or field signatures as an indicator of their relevance , and suggest natural language phrases from them as reformulated queries .

hill et al consider the presence of query terms in the method or field signatures as an indicator of their relevance , and suggest natural language phrases from them as reformulated queries .

contraction is the only tool for such a decomposition .

by , the only 0-operad with a contraction is the one-element monoid , so a weak 0-category is just a set .

a foliation is a lamination for which the union of the leaves is all of m and a geodesic lamination is a lamination whose leaves are geodesics .

is open in in case when supp is called a strictly vertical foliation .

in fact , multiuser superposition transmission , a two-user downlink scenario of noma , has been investigated for the third generation partnership project longterm evolution advanced networks .

furthermore , a two-user downlink scenario of noma , termed multiuser superposition transmission , has been incorporated in the 3rd generation partnership project long term evolution-advanced .

in our previous work , we characterized the network capacity region of multi-queue multi-server systems with time varying on-off channels .

in our previous work in , we characterized the network stability region of multi-queue multi-server systems with time varying on-off channels .

a solution is said to be universal if the initial distribution is arbitrary .

the solution is universal in the sense that the initial distribution may be arbitrary .

however , recent researches have shown that deep learning models are vulnerable to adversarial examples .

as a learning-based model , deep networks are also vulnerable to adversarial examples .

once the attackers are identified , all the packets from those nodes will be blocked .

once the ddos attackers are identified , all the packets from those nodes will be discarded .

this does not affect the ghost equation , due to the non-renormalization of the ghost-gluon vertex .

this furthermore implies that the relation receives corrections on top of any corrections from the ghost-gluon vertex .

nonlinear dynamics tells us that at low p most of the motion takes place on what is called the primary zone of phase space .

the phase space is a non-compact three-dimensional space .

two-tone spectroscopy of the transmon-resonator system .

two-tone spectroscopy of autler-townes splitting .

intertwining operators for semisimple groups .

natural kernels on pseudo-riemannian symmetric spaces .

the existence of a many-body localized phase has been recently proven rigorously for one-dimensional systems on a lattice with short-range interactions .

in this context , the limited evidence from perturbative approaches supports the persistence of a many-body localized phase for one-dimensional spin systems in the presence of weak interactions .

in , a dof of as n log p bits , where l is the number of taps and p is the total available transmit powershowed that the maximum number of dof is achievable with limited feedback in an n -user mimo ic if the feedback size scales with the snr .

in , it is shown that the maximum number of dof , k 2 , is achievable with limited feedback in a k-transmitter frequency-selective siso ic if the feedback size is scaled as klog p bits where l is the number of taps and p is transmit power .

zhao et al in introduced a pyramid pooling module , that can better grasp the context of the input image .

zhao et al design a pyramid pooling module in fcn to exploit the capability of global context information .

we use mini-batch stochastic gradient descent with adam algorithm to optimize the neural network .

we train the hyper-parameters of the network using minibatch training using the adam update rule .

the perdew , burke and ernzerhof generalized gradient approximation is used with with a cut-off energy of 533 ev .

the electron exchange correlation potential is treated with the generalized gradient approximation of the perdew-bruke-ernzerhof functional .

we have also applied our model to the concordance model of cosmology .

we have also discussed the application of our model to the concordance model of cosmology .

for fair comparisons , the final segmentation results are refined by densecrf .

for fair comparison , we apply post-processing over the results from p-net with crf .

similarly , the values of secondary evaluation index cc are classified into three categories namely very good , good and average .

therefore , the values of the secondary evaluation index ic are classified into two categories namely very good and good and hence can be ordered .