Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted
Least Squares Minimization

v1v2 (latest)

Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization

IEEE Transactions on Image Processing (TIP), 2014

29 January 2014

ArXiv (abs)PDF HTML

Papers citing "Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization"

15 / 15 papers shown

Optimistic Optimisation of Composite Objective with Exponentiated Update

Optimistic Optimisation of Composite Objective with Exponentiated UpdateMachine-mediated learning (ML), 2022

416

4

0

08 Aug 2022

Stable and Compact Face Recognition via Unlabeled Data Driven Sparse
Representation-Based Classification

Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based ClassificationSignal processing. Image communication (SPIC), 2021

213

10

0

04 Nov 2021

Structure-Preserving Progressive Low-rank Image Completion for Defending
Adversarial Attacks

Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks

171

0

0

04 Mar 2021

A Group Norm Regularized Factorization Model for Subspace Segmentation

A Group Norm Regularized Factorization Model for Subspace Segmentation

160

0

0

08 Jan 2020

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and
Applications

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

174

161

0

11 Oct 2018

Low Rank Regularization: A Review

Low Rank Regularization: A Review

Xuelong Li

345

97

0

14 Aug 2018

Stochastic Chebyshev Gradient Descent for Spectral Optimization

Stochastic Chebyshev Gradient Descent for Spectral Optimization

316

11

0

18 Feb 2018

Online and Batch Supervised Background Estimation via L1 Regression

Online and Batch Supervised Background Estimation via L1 Regression

Peter Richtárik

202

9

0

23 Nov 2017

A convergence framework for inexact nonconvex and nonsmooth algorithms
and its applications to several iterations

A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations

Tao Sun

356

7

0

12 Sep 2017

Iteratively Linearized Reweighted Alternating Direction Method of
Multipliers for a Class of Nonconvex Problems

Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems

Tao Sun

437

29

0

01 Sep 2017

Piece-wise quadratic approximations of arbitrary error functions for
fast and robust machine learning

Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning

A. N. Gorban

E. M. Mirkes

148

5

0

20 May 2016

Robust Dictionary based Data Representation

Robust Dictionary based Data Representation

126

1

0

11 Dec 2015

Pseudo-Bayesian Robust PCA: Algorithms and Analyses

Pseudo-Bayesian Robust PCA: Algorithms and Analyses

In So Kweon

160

1

0

07 Dec 2015

Decomposition into Low-rank plus Additive Matrices for
Background/Foreground Separation: A Review for a Comparative Evaluation with
a Large-Scale Dataset

Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

391

344

0

04 Nov 2015

Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted
Nuclear Norm

Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm

265

332

0

23 Oct 2015