Tensor completion using total variation and low-rank matrix factorization
type: Item
instance of: scholarly article
title: Tensor completion using total variation and low-rank matrix factorization
zbMATH Open document ID: 1387.94038
author: Xianqiang Yang
published in: Information Sciences
publication date: 2018-05-22T00:00:00Z
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 65F30
zbMATH DE Number: 6870732
zbMATH Keywords: tensor completion
zbMATH Keywords: total variation
zbMATH Keywords: low-rank matrix factorization
zbMATH Keywords: block coordinate descent
MaRDI profile type: Publication
full work available at URL: j.ins.2015.07.049
OpenAlex ID: W1476376401
cites work: A Singular Value Thresholding Algorithm for Matrix Completion
cites work: Exact matrix completion via convex optimization
cites work: The Power of Convex Relaxation: Near-Optimal Matrix Completion
cites work: An Augmented Lagrangian Method for Total Variation Video Restoration
cites work: Active contours without edges
cites work: Tensor completion and low-n-rank tensor recovery via convex optimization
cites work: Q3511010
cites work: Most Tensor Problems Are NP-Hard
cites work: Tensor Decompositions and Applications
cites work: Image restoration using total variation with overlapping group sparsity
cites work: Coupled segmentation and denoising/deblurring models for hyperspectral material identification
cites work: Fixed point and Bregman iterative methods for matrix rank minimization
cites work: A unified convergence analysis of block successive minimization methods for nonsmooth optimization
cites work: Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
cites work: Nonlinear total variation based noise removal algorithms
cites work: Q3161693
cites work: Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm
cites work: Dictionary learning for noisy and incomplete hyperspectral images
cites work: Parallel matrix factorization for low-rank tensor completion
cites work: An alternating direction algorithm for matrix completion with nonnegative factors
cites work: A Fixed Point Iterative Method for Low $n$-Rank Tensor Pursuit
cites work: Total Variation Structured Total Least Squares Method for Image Restoration
DOI: 10.1016/J.INS.2015.07.049
description: scientific article; zbMATH DE number 6870732