Handbook of Robust Low-Rank and Sparse Matrix Decomposition
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Published By CRC Press

9781498724623, 9781498724630

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Incremental Methods for Robust Local Subspace Estimation

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-12 ◽

2016 ◽

pp. 11-1-11-37

Keyword(s):

Incremental Methods ◽

Subspace Estimation

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Bayesian Sparse Estimation for Background/Foreground Separation

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-27 ◽

2016 ◽

pp. 481-498

Author(s):

Shinichi Nakajima ◽

Masashi Sugiyama ◽

S Babacan

Keyword(s):

Sparse Estimation

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Robust Matrix Completion through Nonconvex Approaches and Efficient Algorithms

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-9 ◽

2016 ◽

pp. 8-1-8-19

Keyword(s):

Matrix Completion ◽

Efficient Algorithms

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LRSLibrary: Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-24 ◽

2016 ◽

pp. 426-440 ◽

Cited By ~ 13

Author(s):

Andrews Sobral ◽

Thierry Bouwmans ◽

El-Hadi Zahzah

Keyword(s):

Background Modeling ◽

Low Rank

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Color Insert

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-29 ◽

2016 ◽

pp. 501-516

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A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-15 ◽

2016 ◽

pp. 14-1-14-19

Keyword(s):

Variational Approach ◽

Low Rank ◽

Matrix Recovery ◽

Rank Matrix ◽

Component Estimation ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix

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Online (Recursive) Robust Principal Components Analysis

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-11 ◽

2016 ◽

pp. 10-1-10-35

Keyword(s):

Principal Components Analysis ◽

Principal Components ◽

Components Analysis

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Robust Orthonormal Subspace Learning (ROSL) for Efficient Low-Rank Recovery

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-13 ◽

2016 ◽

pp. 12-1-12-14

Keyword(s):

Subspace Learning ◽

Low Rank

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Applications in Background/Foreground Separation for Video Surveillance

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-23 ◽

2016 ◽

pp. 425-425

Keyword(s):

Video Surveillance

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Robust Non-Negative Matrix Factorization under Separability Assumption

Handbook of Robust Low-Rank and Sparse Matrix Decomposition ◽

10.1201/b20190-8 ◽

2016 ◽

pp. 7-1-7-15

Keyword(s):

Matrix Factorization ◽

Separability Assumption ◽

Non Negative Matrix Factorization

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Handbook of Robust Low-Rank and Sparse Matrix DecompositionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By CRC Press

Incremental Methods for Robust Local Subspace Estimation

Bayesian Sparse Estimation for Background/Foreground Separation

Robust Matrix Completion through Nonconvex Approaches and Efficient Algorithms

LRSLibrary: Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Color Insert

A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery

Online (Recursive) Robust Principal Components Analysis

Robust Orthonormal Subspace Learning (ROSL) for Efficient Low-Rank Recovery

Applications in Background/Foreground Separation for Video Surveillance

Robust Non-Negative Matrix Factorization under Separability Assumption

Handbook of Robust Low-Rank and Sparse Matrix Decomposition
Latest Publications