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Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications

4 March 2015

In So Kweon

Papers citing "Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications"

39 / 39 papers shown

Title
Efficient Differentiable Approximation of Generalized Low-rank Regularization Naiqi Li Yuqiu Xie Peiyuan Liu Tao Dai Yong Jiang Shu-Tao Xia 33 0 0 21 May 2025
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 83 3 0 12 May 2025
Quaternion Infrared Visible Image Fusion Weihua Yang Yicong Zhou 68 0 0 05 May 2025
Developability Approximation for Neural Implicits through Rank Minimization Pratheba Selvaraju 36 1 0 07 Aug 2023
A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising Yiwen Shan D. Hu Zhi Wang 62 5 0 16 Jul 2023
ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value Regularization Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 78 1 0 06 Jul 2023
Autoencoders for a manifold learning problem with a Jacobian rank constraint Rustem Takhanov Y. S. Abylkairov Maxat Tezekbayev DRL CML 123 2 0 25 Jun 2023
Tensor Robust PCA with Nonconvex and Nonlocal Regularization Xiaoyu Geng Q. Guo Shuaixiong Hui Ming Yang Cai-ming Zhang 29 6 0 04 Nov 2022
Organic Priors in Non-Rigid Structure from Motion Suryansh Kumar Luc Van Gool 65 13 0 13 Jul 2022
"Sparse + Low-Rank'' Tensor Completion Approach for Recovering Images and Videos Chenjian Pan C. Ling Hongjin He Liqun Qi Yanwei Xu 76 2 0 18 Oct 2021
Hyperspectral Image Denoising via Multi-modal and Double-weighted Tensor Nuclear Norm Sheng Liu Xiaozhen Xie Wenfeng Kong 48 0 0 19 Jan 2021
Leveraged Matrix Completion with Noise Xinjian Huang Weiwei Liu Bo Du Dacheng Tao 158 2 0 11 Nov 2020
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic Norm Anyong Qin Lina Xian Yongliang Yang Taiping Zhang Yuanyan Tang 114 3 0 17 Sep 2020
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation Haijin Zeng Xiaozhen Xie J. Ning 93 51 0 30 May 2020
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion J. Iglesias Carl Olsson Marcus Valtonen Örnhag 136 8 0 23 Mar 2020
Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing R. Annunziata Christos Sagonas Jacques Calì 32 7 0 12 Aug 2019
Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit Aritra Dutta Filip Hanzely Jingwei Liang Peter Richtárik 48 10 0 25 May 2019
Binary matrix completion with nonconvex regularizers Chunsheng Liu 118 1 0 08 Apr 2019
Reducing the dimensionality of data using tempered distributions Rustem Takhanov 97 2 0 12 Mar 2019
Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited Suryansh Kumar 126 31 0 27 Feb 2019
Multi-band Weighted $l_p$ Norm Minimization for Image Denoising Yanchi Su Zhanshan Li Haihong Yu Zeyu Wang 49 0 0 14 Jan 2019
Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion Shengke Xue Wenyuan Qiu Fan Liu Xinyu Jin 56 7 0 07 Jan 2019
Bilinear Parameterization For Differentiable Rank-Regularization Marcus Valtonen Örnhag Carl Olsson A. Heyden 156 11 0 27 Nov 2018
Robust low-rank multilinear tensor approximation for a joint estimation of the multilinear rank and the loading matrices Xu Han L. Albera A. Kachenoura H. Shu L. Senhadji 30 1 0 14 Nov 2018
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications Fanhua Shang James Cheng Yuanyuan Liu Zhi-Quan Luo Zhouchen Lin 60 149 0 11 Oct 2018
Low Rank Regularization: A Review Zhanxuan Hu Feiping Nie Rong Wang Xuelong Li 66 81 0 14 Aug 2018
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration Zhiyuan Zha Xin Yuan Bihan Wen Jiantao Zhou Jiachao Zhang Ce Zhu 227 86 0 06 Jul 2018
Side Information for Face Completion: a Robust PCA Approach Niannan Xue Jiankang Deng Shiyang Cheng Yannis Panagakis Stefanos Zafeiriou CVBM 73 22 0 20 Jan 2018
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm Tai-Xiang Jiang Tingzhu Huang Xile Zhao Liang-Jian Deng 91 108 0 15 Dec 2017
Informed Non-convex Robust Principal Component Analysis with Features Niannan Xue Jiankang Deng Yannis Panagakis Stefanos Zafeiriou 53 7 0 14 Sep 2017
A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization Zhiyuan Zha Xin Yuan Bihan Wen Jiantao Zhou Jiachao Zhang Ce Zhu 97 90 0 12 Sep 2017
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms Inwook Shim Tae-Hyun Oh Joon-Young Lee J. Choi Dong-Geol Choi In So Kweon 68 40 0 24 Aug 2017
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers Quanming Yao James T. Kwok Taifeng Wang Tie-Yan Liu 72 95 0 01 Aug 2017
Side Information in Robust Principal Component Analysis: Algorithms and Applications Niannan Xue Yannis Panagakis Stefanos Zafeiriou 42 3 0 02 Feb 2017
Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability Soumyadip Sengupta Hao Zhou Walter Forkel Ronen Basri Tom Goldstein David Jacobs 55 9 0 02 Feb 2017
Subspace clustering based on low rank representation and weighted nuclear norm minimization Yu Song Yiquan Wu 36 2 0 12 Oct 2016
Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds Boyue Wang Yongli Hu Junbin Gao Yanfeng Sun Baocai Yin 76 10 0 21 Jan 2016
Pseudo-Bayesian Robust PCA: Algorithms and Analyses Tae-Hyun Oh Y. Matsushita In So Kweon David Wipf 18 1 0 07 Dec 2015
Fast Randomized Singular Value Thresholding for Low-rank Optimization Tae-Hyun Oh Y. Matsushita Yu-Wing Tai In So Kweon 58 57 0 01 Sep 2015