Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm

23 October 2015

Papers citing "Nonconvex Nonsmooth Low-Rank Minimization via Iteratively Reweighted Nuclear Norm"

27 / 27 papers shown

Title
Accelerating Large-Scale Regularized High-Order Tensor Recovery Wenjin Qin Hailin Wang Jingyao Hou Jianjun Wang 64 0 0 11 Jun 2025
A framework to generate sparsity-inducing regularizers for enhanced low-rank matrix completion Zhi-yong Wang H. C. So 8 0 0 08 Oct 2023
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer Zhi-yong Wang H. C. So A. Zoubir 34 0 0 07 Oct 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Yining Lin Xi Li CVBM 77 37 0 06 Jun 2023
Learning Transition Operators From Sparse Space-Time Samples C. Kümmerle Mauro Maggioni Sui Tang 57 1 0 01 Dec 2022
Introducing the Huber mechanism for differentially private low-rank matrix completion R. Gowtham Gokularam M Thulasi Tholeti Sheetal Kalyani 45 0 0 16 Jun 2022
Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear coupling constraints L. Hien D. Papadimitriou 23 1 0 19 Jan 2022
Multi-Tensor Network Representation for High-Order Tensor Completion Chang Nie Huan Wang Zhihui Lai 49 2 0 09 Sep 2021
Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing U. M. Thanthrige P. Jung Aydin Sezgin 27 7 0 07 Jun 2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples C. Kümmerle C. M. Verdun 68 23 0 03 Jun 2021
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization L. Hien D. Phan Nicolas Gillis 38 19 0 10 Feb 2021
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation Haijin Zeng Xiaozhen Xie J. Ning 88 51 0 30 May 2020
Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion Haijin Zeng Xiaozhen Xie J. Ning 40 0 0 28 May 2020
Low-Rank and Total Variation Regularization and Its Application to Image Recovery P. Goyal Hussam Al Daas P. Benner 18 2 0 12 Mar 2020
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration Yunyi Li Guan Gui Xiefeng Cheng 45 0 0 10 Jul 2019
Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum Cho-Ying Wu Jian-Jiun Ding 22 3 0 06 Jun 2019
Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited Suryansh Kumar 123 31 0 27 Feb 2019
Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion Shengke Xue Wenyuan Qiu Fan Liu Xinyu Jin 49 7 0 07 Jan 2019
$$\ell_0$-Motivated Low-Rank Sparse Subspace Clustering$ $\ell_0$ -Motivated Low-Rank Sparse Subspace Clustering Maria Brbic I. Kopriva 59 47 0 17 Dec 2018
Bilinear Parameterization For Differentiable Rank-Regularization Marcus Valtonen Örnhag Carl Olsson A. Heyden 130 11 0 27 Nov 2018
Subspace Clustering by Block Diagonal Representation Canyi Lu Jiashi Feng Zhouchen Lin Tao Mei Shuicheng Yan 66 361 0 23 May 2018
A convergence framework for inexact nonconvex and nonsmooth algorithms and its applications to several iterations Tao Sun Hao Jiang Lizhi Cheng Wei Zhu 74 7 0 12 Sep 2017
Iteratively Linearized Reweighted Alternating Direction Method of Multipliers for a Class of Nonconvex Problems Tao Sun Hao Jiang Lizhi Cheng Wei Zhu 47 28 0 01 Sep 2017
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers Quanming Yao James T. Kwok Taifeng Wang Tie-Yan Liu 60 95 0 01 Aug 2017
Reweighted Infrared Patch-Tensor Model With Both Non-Local and Local Priors for Single-Frame Small Target Detection Yimian Dai Yiquan Wu 63 378 0 27 Mar 2017
Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation Zhiyuan Zha Qiong Wang Bei Li Xinggan Zhang Xin Liu Lan Tang Yechao Bai 40 13 0 15 Feb 2017
Enhanced Low-Rank Matrix Approximation Ankit Parekh I. Selesnick 75 87 0 06 Nov 2015