Bayesian robust principal component analysis with structured sparse component

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Computational Statistics & Data Analysis

• Publication date

  2017-05-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/J.CSDA.2016.12.005
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Pattern Recognition And Machine Learning

  2016cited by this paper
• Generalized Nonconvex Nonsmooth Low-Rank Minimization

  2014cited by this paper
• Robust Principal Component Analysis with Complex Noise

  2014cited by this paper
• Reweighted Low-Rank Matrix Recovery and its Application in Image Restoration

  2014cited by this paper
• Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos

  2014cited by this paper
• Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization

  2014cited by this paper
• Block-Sparse RPCA for Salient Motion Detection

  2014cited by this paper
• Nonconvex compressed sensing with partially known signal support

  2013cited by this paper
• Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

  2013cited by this paper
• Boltzmann Machine and Mean-Field Approximation for Structured Sparse Decompositions

  2012cited by this paper
• Bayesian compressive sensing for cluster structured sparse signals

  2012cited by this paper
• Iterative reweighted minimization methods for $$l_p$$lp regularized unconstrained nonlinear programming

  2012cited by this paper
• Robust and Practical Face Recognition via Structured Sparsity

  2012cited by this paper
• Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization

  2012cited by this paper
• Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

  2012cited by this paper
• Sparse Bayesian Methods for Low-Rank Matrix Estimation

  2011influential reference
• Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation

  2011cited by this paper
• Bayesian Robust Principal Component Analysis

  2011influential reference
• Evaluation of background subtraction techniques for video surveillance

  2011influential reference
• The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

  2010cited by this paper
• RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images

  2010cited by this paper
• Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery

  2010cited by this paper
• Robust Recovery of Subspace Structures by Low-Rank Representation

  2010cited by this paper
• Robust Face Recognition via Sparse Representation

  2009influential reference
• Robust principal component analysis?

  2009influential reference
• Guaranteed Rank Minimization via Singular Value Projection

  2009cited by this paper
• Nonparametric factor analysis with beta process priors

  2009cited by this paper
• An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems

  2009cited by this paper
• Principal component analysis for data containing outliers and missing elements

  2008cited by this paper
• A Singular Value Thresholding Algorithm for Matrix Completion

  2008cited by this paper
• Model-Based Compressive Sensing

  2008cited by this paper
• Variational approximations in Bayesian model selection for finite mixture distributions

  2007cited by this paper
• Statistics for Functional Data

  2007cited by this paper
• A comparison of three methods for principal component analysis of fuzzy interval data

  2006cited by this paper
• Pattern Recognition and Machine Learning

  2006cited by this paper

• Improved Turbo Message Passing for Compressive Robust Principal Component Analysis: Algorithm Design and Asymptotic Analysis

  2024cites this paper
• Bayesian Dictionary Learning on Robust Tubal Transformed Tensor Factorization

  2023cites this paper
• A Small Leak Detection and Localization Method for Oil Pipelines Based on Improved Robust Principle Component Analysis

  2022cites this paper
• Hierarchical low-rank and sparse tensor micro defects decomposition by electromagnetic thermography imaging system

  2020cites this paper
• Bayesian Robust Principal Component Analysis with Adaptive Singular Value Penalty

  2020cites this paper
• Sparse Bayesian Learning for Robust PCA: Algorithms and Analyses

  2019cites this paper
• High Dimensional Process Monitoring Using Robust Sparse Probabilistic Principal Component Analysis

  2019cites this paper
• Research Progress on Key Technologies of Radar Signal Sorting

  2019cites this paper
• Line Constrained Estimation With Applications to Target Tracking: Exploiting Sparsity and Low-Rank

  2018cites this paper
• Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis

  2017cites this paper
• An Evaluation Method for Sortie Generation Capacity of Carrier Aircrafts with Principal Component Reduction and Catastrophe Progression Method

  2017cites this paper
• Analysis Model for Fire Accidents of Electric Bicycles Based on Principal Component Analysis

  2017cites this paper
• A Bayesian Sparse-Plus-Low-Rank Matrix Decomposition Method for Direction-of-Arrival Tracking

  2017cites this paper