Sparse Bayesian Methods for Low-Rank Matrix Estimation

Bayesian Robust Principal Component Analysis

(2011) Xinghao Ding et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

(2011) A. Wagner et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

Matrix Completion From a Few Entries

(2010) Raghunandan H. Keshavan et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

The Power of Convex Relaxation: Near-Optimal Matrix Completion

(2010) Emmanuel J. Candes et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

ADMiRA: Atomic Decomposition for Minimum Rank Approximation

(2010) Kiryung Lee et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Matrix Completion With Noise

(2010) Emmanuel J Candes 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

Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization

(2009) J.P. Haldar et al.   IEEE SIGNAL PROCESSING LETTERS

Fixed point and Bregman iterative methods for matrix rank minimization

(2009) Shiqian Ma et al.   MATHEMATICAL PROGRAMMING

Interior-Point Method for Nuclear Norm Approximation with Application to System Identification

(2009) Zhang Liu et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

Robust L1 Principal Component Analysis and Its Bayesian Variational Inference

(2007) Junbin Gao   NEURAL COMPUTATION