nirantk/triplets · Datasets at Hugging Face

query stringlengths 1 13.4k	pos stringlengths 1 61k	neg stringlengths 1 63.9k	query_lang stringclasses 147 values	__index_level_0__ int64 0 3.11M
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

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