Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer

Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering

(2017) Sajid Javed et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

High Dimensional Low Rank Plus Sparse Matrix Decomposition

(2017) Mostafa Rahmani et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Recovering low-rank and sparse matrix based on the truncated nuclear norm

(2017) Feilong Cao et al.   NEURAL NETWORKS

Low rank representation with adaptive distance penalty for semi-supervised subspace classification

(2017) Lunke Fei et al.   PATTERN RECOGNITION

Camera-trap images segmentation using multi-layer robust principal component analysis

(2017) Jhony-Heriberto Giraldo-Zuluaga et al.   VISUAL COMPUTER

Incremental Principal Component Pursuit for Video Background Modeling

(2015) Paul Rodriguez et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Relations Among Some Low-Rank Subspace Recovery Models

(2015) Hongyang Zhang et al.   NEURAL COMPUTATION

Robust PCA-based solution to image composition using augmented Lagrange multiplier (ALM)

(2015) Adit Bhardwaj et al.   VISUAL COMPUTER

Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance

(2014) Thierry Bouwmans et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos

(2014) Andrews Sobral et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

(2013) Yao Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

pROST: a smoothed $$\ell _p$$ ℓ p -norm robust online subspace tracking method for background subtraction in video

(2013) Florian Seidel et al.   MACHINE VISION AND APPLICATIONS

An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion

(2013) Yuanyuan Liu et al.   NEURAL NETWORKS

Extracting sparse error of robust PCA for face recognition in the presence of varying illumination and occlusion

(2013) Xiao Luan et al.   PATTERN RECOGNITION

Fast alternating linearization methods for minimizing the sum of two convex functions

(2012) Donald Goldfarb et al.   MATHEMATICAL PROGRAMMING

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

Rank-Sparsity Incoherence for Matrix Decomposition

(2011) Venkat Chandrasekaran et al.   SIAM JOURNAL ON OPTIMIZATION

Image Super-Resolution Via Sparse Representation

(2010) Jianchao Yang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Sparse Representation for Computer Vision and Pattern Recognition

(2010) John Wright et al.   PROCEEDINGS OF THE IEEE

A Singular Value Thresholding Algorithm for Matrix Completion

(2010) Jian-Feng Cai et al.   SIAM JOURNAL ON OPTIMIZATION

Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization

(2010) Benjamin Recht et al.   SIAM REVIEW

Exact Matrix Completion via Convex Optimization

(2009) Emmanuel J. Candès et al.   FOUNDATIONS OF COMPUTATIONAL MATHEMATICS

Robust Face Recognition via Sparse Representation

(2009) J. Wright et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing

(2008) Wotao Yin et al.   SIAM Journal on Imaging Sciences