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Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices | SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions | MobiCloud: Building Secure Cloud Framework for Mobile Computing and Communication | eng_Latn | 900 |
bdgraph : an r package for bayesian structure learning in graphical models . | Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation | sdpt3 — a matlab software package for semidefinite - quadratic - linear programming , version 3 . 0 . | eng_Latn | 901 |
Divide and Conquer Kernel Ridge Regression | Ridge Regression Learning Algorithm in Dual Variables | Statistical learning theory | eng_Latn | 902 |
Robust Subspace Clustering via Smoothed Rank Approximation | Robust Recovery of Subspace Structures by Low-Rank Representation | Password-authenticated key exchange based on RSA | kor_Hang | 903 |
Selective Inference for Group-Sparse Linear Models | Model selection and estimation in regression with grouped variables | Image Noise Level Estimation by Principal Component Analysis | eng_Latn | 904 |
Projected Gradient Methods for Nonnegative Matrix Factorization | Accelerating the Lee-Seung Algorithm for Nonnegative Matrix Factorization | Leveraging Smartphone Sensor Data for Human Activity Recognition | eng_Latn | 905 |
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization | Generalized Singular Value Thresholding | Factors influencing consumers’ purchase intention of green sportswear | eng_Latn | 906 |
LoOP: local outlier probabilities | Angle-based outlier detection in high-dimensional data | The Why and How of Nonnegative Matrix Factorization | eng_Latn | 907 |
Subspace Methods for Joint Sparse Recovery | Joint covariate selection and joint subspace selection for multiple classification problems | The “Physics” of Notations: Toward a Scientific Basis for Constructing Visual Notations in Software Engineering | eng_Latn | 908 |
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming | Statistical learning theory | Marginalized Kernels Between Labeled Graphs | eng_Latn | 909 |
TensorLy: Tensor Learning in Python | matplotlib : a 2d graphics environment . | Latent variable graphical model selection via convex optimization | eng_Latn | 910 |
An Algorithmic Approach to Linear Regression Bachelor Thesis 1 | Theory and Applications of Robust Optimization | Reinforced random forest | eng_Latn | 911 |
A new Kernel non-negative matrix factorization and its application in microarray data analysis | Algorithms for Non-negative Matrix Factorization | Nonnegative Matrix Factorization for Spectral Data Analysis | eng_Latn | 912 |
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy | Robust Principal Component Analysis Based on Maximum Correntropy Criterion | Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series | eng_Latn | 913 |
learning with matrix factorizations . | Learning the parts of objects by non-negative matrix factorization | A Meta-Study of Algorithm Visualization Effectiveness | eng_Latn | 914 |
Novel multi-layer non-negative tensor factorization with sparsity constraints | Learning the parts of objects by non-negative matrix factorization | Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 | eng_Latn | 915 |
A Provably Efficient Algorithm for Separable Topic Discovery | When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? | The Alt-Right and Global Information Warfare | eng_Latn | 916 |
Robust and Discriminative Concept Factorization for Image Representation | Non-negative matrix factorization with sparseness constraints | An inexpensive Arduino-based LED stimulator system for vision research | eng_Latn | 917 |
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data | Projection Pursuit Regression | Learning internal representations by error propagation | eng_Latn | 918 |
Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization | Learning the parts of objects by non-negative matrix factorization | nflammation and immune surveillance in cancer | eng_Latn | 919 |
Clustered Multi-Task Learning: A Convex Formulation | Regularization Theory and Neural Networks Architectures | Weighted Low-Rank Approximations | kor_Hang | 920 |
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation | The pls Package: Principal Component and Partial Least Squares Regression in R | semantics in visual information retrieval . | kor_Hang | 921 |
efficient and robust feature selection via joint ℓ2 , 1 - norms minimization . | Estimating Attributes: Analysis and Extensions of RELIEF | Reactive Oxygen Species, Oxidative Damage, and Antioxidative Defense Mechanism in Plants under Stressful Conditions | eng_Latn | 922 |
iPCA: An Interactive System for PCA-based Visual Analytics | Singular Value Decomposition and Principal Component Analysis | Dialectical models in artificial intelligence and law | kor_Hang | 923 |
chapter 1 non - negative matrix factorizations for clustering : a . | Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization | Introduction to Modern Information Retrieval | eng_Latn | 924 |
Modular proximal optimization for multidimensional total-variation regularization | Model selection and estimation in regression with grouped variables | road lane and traffic sign detection & tracking for autonomous urban driving . | eng_Latn | 925 |
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models | GTM: A Principled Alternative to the Self-Organizing Map | Purification and properties of African swine fever virus. | eng_Latn | 926 |
Model Transport: Towards Scalable Transfer Learning on Manifolds | A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics | Estimating a Dynamic Factor Model in EViews Using the Kalman Filter and Smoother | eng_Latn | 927 |
Moving average reversion strategy for on-line portfolio selection | Efficient projections onto the l1-ball for learning in high dimensions | Introduction to Algorithms | eng_Latn | 928 |
Convolution kernels on discrete structures | Ridge Regression Learning Algorithm in Dual Variables | Chapter Two THE NETWORKING OF TERROR IN THE INFORMATION AGE | eng_Latn | 929 |
Fast Algorithms for Robust PCA via Gradient Descent | Rank-Sparsity Incoherence for Matrix Decomposition | Spectral regularization algorithms for learning large incomplete matrices | eng_Latn | 930 |
Collaborative Sparse Regression for Hyperspectral Unmixing | The Restricted Isometry Property and Its Implications for Compressed Sensing | When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? | eng_Latn | 931 |
DC Proximal Newton for Nonconvex Optimization Problems | a fast iterative shrinkage - thresholding algorithm for linear inverse problems . | Semi-Supervised Clustering via Matrix Factorization | eng_Latn | 932 |
Gaussian Processes Autoencoder for Dimensionality Reduction | Nonlinear Component Analysis as a Kernel Eigenvalue Problem | Fingerprint analysis and quality consistency evaluation of flavonoid compounds for fermentedGuavaleaf by combining high-performance liquid chromatography time-of-flight electrospray ionization mass spectrometry and chemometric methods | eng_Latn | 933 |
Algorithm 887: CHOLMOD, Supernodal Sparse Cholesky Factorization and Update/Downdate | A fast and high quality multilevel scheme for partitioning irregular graphs | Panel and Speech Balloon Extraction from Comic Books | kor_Hang | 934 |
Fast smooth rank approximation for tensor completion | Matrix completion by Truncated Nuclear Norm Regularization | Towards Metamerism via Foveated Style Transfer | eng_Latn | 935 |
spectral feature selection for mining ultrahigh dimensional data . | matrix computations ( 3 . ed . ) . | A tangible AR desktop environment | eng_Latn | 936 |
Generalized Stability Approach for Regularized Graphical Models | model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data . | WGCNA: an R package for weighted correlation network analysis | eng_Latn | 937 |
Collaborative Sparse Regression for Hyperspectral Unmixing | Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization | Next-generation synthetic gene networks | eng_Latn | 938 |
Theory and Applications of Robust Optimization | robust solutions to least - squares problems with uncertain data ∗ . | When does Co-training Work in Real Data? | kor_Hang | 939 |
Subspace embeddings for the L1-norm with applications | Coresets and sketches for high dimensional subspace approximation problems | The Big Bang: Facial Trauma Caused by Recreational Fireworks | eng_Latn | 940 |
A GPU-based Approximate SVD Algorithm | A randomized algorithm for principal component analysis | Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform | eng_Latn | 941 |
Direct type-specific conic fitting and eigenvalue bias correction | a buyer ' s guide to conic fitting . | Group Recommender Systems: Combining individual models | eng_Latn | 942 |
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima | a unified framework for high - dimensional analysis of $ m $ - estimators with decomposable regularizers . | Too much automation? the bellwether effect and its implications for transfer learning | eng_Latn | 943 |
UDSFS: Unsupervised deep sparse feature selection | Unsupervised feature selection using nonnegative spectral analysis | Feature Selection for Unsupervised Learning | eng_Latn | 944 |
On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems | A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems | A Survey of the Humoral Immune Response of Cancer Patients to a Panel of Human Tumor Antigens | eng_Latn | 945 |
Robust Locally Linear Embedding | Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering | Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction | eng_Latn | 946 |
Ising formulations of many NP problems | Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions | Young adult sequelae of adolescent cannabis use: an integrative analysis | eng_Latn | 947 |
non - negative residual matrix factorization with application to graph anomaly detection . | When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? | Optimal aircraft rerouting during commercial space launches | eng_Latn | 948 |
Phase Transitions for High Dimensional Clustering and Related Problems | A direct formulation for sparse PCA using semidefinite programming | Innovation in Layer-by-Layer Assembly. | eng_Latn | 949 |
Comments on: High-dimensional simultaneous inference with the bootstrap | Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression | On model selection consistency of lasso | eng_Latn | 950 |
A path following algorithm for Sparse Pseudo-Likelihood Inverse Covariance Estimation (SPLICE) | Regression Shrinkage and Selection Via the Lasso | A Comprehensive Survey on Bengali Phoneme Recognition | kor_Hang | 951 |
Co-Clustering for Multitask Learning | Multi-level Lasso for Sparse Multi-task Regression | i-Fork: a flexible AGV system using topological and grid maps | dan_Latn | 952 |
Learning a kernel matrix for nonlinear dimensionality reduction | Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data | (68)Ga-labeled radiopharmaceuticals for positron emission tomography. | eng_Latn | 953 |
Efficient partial order preserving unsupervised feature selection on networks | Efficient spectral feature selection with minimum redundancy | Consumption of ayahuasca by children and pregnant women: medical controversies and religious perspectives. | eng_Latn | 954 |
avoiding optimal mean robust pca / 2dpca with non - greedy ℓ1 - norm maximization . | Subspace clustering for high dimensional data: a review | Conclusions about interventions, programs, and approaches for improving executive functions that appear justified and those that, despite much hype, do not | eng_Latn | 955 |
On the implementation and usage of SDPT 3 – a Matlab software package for semidefinite-quadratic-linear programming , version 4 . 0 | computing the nearest correlation matrix — a problem from finance ∗ . | a cbt - based psychoeducational intervention for suicide survivors : a cluster randomized controlled study . | eng_Latn | 956 |
numpywren: serverless linear algebra | HAMA: An Efficient Matrix Computation with the MapReduce Framework | Fractional calculus in image processing: a review | eng_Latn | 957 |
Graph Regularized Nonnegative Matrix Factorization for Data Representation | Normalized cuts and image segmentation | Evaluating and Improving Penetration Testing in Web Services | eng_Latn | 958 |
Scalable distributed algorithm for approximate nearest neighbor search problem in high dimensional general metric spaces | voronoi diagrams - a survey of a fundamental geometric data structure . | Once-daily dolutegravir versus twice-daily raltegravir in antiretroviral-naive adults with HIV-1 infection (SPRING-2 study): 96 week results from a randomised, double-blind, non-inferiority trial. | eng_Latn | 959 |
Multivariate k-nearest neighbour regression for time series data — A novel algorithm for forecasting UK electricity demand | Exact indexing of dynamic time warping | Molecular tumor targeting of gelonin by fusion with F3 peptide. | eng_Latn | 960 |
Non-negative matrix factorization under heavy noise | When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? | Projected Gradient Methods for Nonnegative Matrix Factorization | eng_Latn | 961 |
Subspace Clustering with Priors via Sparse Quadratically Constrained Quadratic Programming | Robust Recovery of Subspace Structures by Low-Rank Representation | Antimycobacterial Metabolism: Illuminating Mycobacterium tuberculosis Biology and Drug Discovery. | eng_Latn | 962 |
Phase Transitions for High Dimensional Clustering and Related Problems | A direct formulation for sparse PCA using semidefinite programming | Improving retention and graduate recruitment through immersive research experiences for undergraduates | eng_Latn | 963 |
Contrastive Learning Using Spectral Methods | Spectral Experts for Estimating Mixtures of Linear Regressions | DOMPurify: Client-Side Protection Against XSS and Markup Injection | eng_Latn | 964 |
Global and Local Structure Preservation for Feature Selection | An introduction to nonlinear dimensionality reduction by maximum variance unfolding | RecPlay: a fully integrated practical record/replay system | eng_Latn | 965 |
Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC | Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization | Motion parallax in stereo 3D: model and applications | yue_Hant | 966 |
Large-Scale Linear Optimization through Machine Learning: From Theory to Practical System Design and Implementation | Combinatorial optimization : algorithms and complexity | On Straight Line Segment Detection | eng_Latn | 967 |
Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization | Non-negative matrix factorization with sparseness constraints | Eigenfaces for Recognition | eng_Latn | 968 |
Locally Consistent Concept Factorization for Document Clustering | nonlinear dimensionality reduction by locally linear embedding . | Descreening of color halftone images in the frequency domain | eng_Latn | 969 |
An introduction to nonlinear dimensionality reduction by maximum variance unfolding | Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization | Effects of Masculinity, Sex, and Control on Different Types of Intimate Partner Violence Perpetration | eng_Latn | 970 |
Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters | an introduction to the conjugate gradient method without the agonizing pain . | Exact Matrix Completion via Convex Optimization | kor_Hang | 971 |
Stochastic Variance-reduced Gradient Descent for Low-rank Matrix Recovery from Linear Measurements | Stochastic Variance Reduction for Nonconvex Optimization | Rapidly involuting congenital hemangioma with fetal involution. | eng_Latn | 972 |
Sparse Unmixing of Hyperspectral Data | fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery . | Enhancement of Dye-Sensitized Solar Cells Efficiency Using Mixed-Phase TiO2 Nanoparticles as Photoanode | kor_Hang | 973 |
Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables | Algorithms for Non-negative Matrix Factorization | clinical features of smarca2 duplication overlap with coffin - siris syndrome . | eng_Latn | 974 |
A Computational Framework for Influenza Antigenic Cartography | A Singular Value Thresholding Algorithm for Matrix Completion | SIGNAL RECOVERY BY PROXIMAL FORWARD-BACKWARD SPLITTING | eng_Latn | 975 |
Noisy Matrix Completion under Sparse Factor Models | Sparse Subspace Clustering: Algorithm, Theory, and Applications. | Convolutional Video Steganography with Temporal Residual Modeling | eng_Latn | 976 |
Sparse Bayesian Methods for Low-Rank Matrix Estimation | A Singular Value Thresholding Algorithm for Matrix Completion | Scaling Neural Machine Translation | eng_Latn | 977 |
GPTIPS 2: an open-source software platform for symbolic data mining | Ridge regression: biased estimation for nonorthogonal problems | Material Recognition from Local Appearance in Global Context | eng_Latn | 978 |
Recovering low-rank matrices from few coefficients in any basis | A rank minimization heuristic with application to minimum order system approximation | A Singular Value Thresholding Algorithm for Matrix Completion | eng_Latn | 979 |
Stochastic Variance-reduced Gradient Descent for Low-rank Matrix Recovery from Linear Measurements | Accelerating Stochastic Gradient Descent using Predictive Variance Reduction | 1 characteristic - based clustering for time series data . | eng_Latn | 980 |
Joint self-representation and subspace learning for unsupervised feature selection | Graph PCA Hashing for Similarity Search | Model order-reduction of RC(L) interconnect including variational analysis | eng_Latn | 981 |
All-at-once Optimization for Coupled Matrix and Tensor Factorizations | Line search algorithms with guaranteed sufficient decrease | ‘ stigmatization by negative selection ’ explaining less - educated people ’ s decreasing employment opportunities . | eng_Latn | 982 |
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization | Algorithms and applications for approximate nonnegative matrix factorization | Performance evaluation of IEEE 802.15.4e DSME MAC protocol for wireless sensor networks | eng_Latn | 983 |
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis | A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning | Diachronic Evaluation of NER Systems on Old Newspapers | eng_Latn | 984 |
Robust high-dimensional precision matrix estimation | A fast algorithm for the minimum covariance determinant estimator | Robust regression methods for computer vision: A review | eng_Latn | 985 |
Online Robust Low-Rank Tensor Learning | Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function | A coordinate gradient descent method for ℓ1-regularized convex minimization | kor_Hang | 986 |
Survey of Sparse and Non-Sparse Methods in Source Separation | Learning the parts of objects by non-negative matrix factorization | In your face: the biased judgement of fear-anger expressions in violent offenders | eng_Latn | 987 |
A Knowledge Compilation Map | Directional Resolution: The Davis-Putnam Procedure, Revisited | Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix | eng_Latn | 988 |
Likelihood-informed dimension reduction for nonlinear inverse problems | Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions | Teaching Meaningful Explanations | eng_Latn | 989 |
Binary Rating Estimation with Graph Side Information | Fast Algorithms for Robust PCA via Gradient Descent | What's new: finding significant differences in network data streams | kor_Hang | 990 |
A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers - application to gene expression analysis | Learning the parts of objects by non-negative matrix factorization | Categories for the working mathematician: making the impossible possible | eng_Latn | 991 |
An introduction to nonlinear dimensionality reduction by maximum variance unfolding | Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization | 12 A Mobile Device Based ECG Analysis System | eng_Latn | 992 |
Just noticeable defocus blur detection and estimation | Online Learning for Matrix Factorization and Sparse Coding | Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. | eng_Latn | 993 |
Generalized Higher-Order Tensor Decomposition via Parallel ADMM | Tensor Decompositions and Applications | The visual N1 component as an index of a discrimination process | eng_Latn | 994 |
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization | A Singular Value Thresholding Algorithm for Matrix Completion | Cartoon rendering of smoke animations | eng_Latn | 995 |
generalization bound for multiple source domain adaptation . | Robustness and generalization | A feasible method for optimization with orthogonality constraints | eng_Latn | 996 |
Low-Rank Matrix Factorization under General Mixture Noise Distributions | Pattern recognition and machine learning | A new class of upper bounds on the log partition function | eng_Latn | 997 |
Multiple Subspace Alignment Improves Domain Adaptation | Optimization algorithms on matrix manifolds | Higher-order Web link analysis using multilinear algebra | eng_Latn | 998 |
Robust submodular observation selection | Fast forward selection to speed up sparse gaussian process regression | Query by committee | eng_Latn | 999 |
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