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Multi-dimensional imaging data recovery via minimizing the partial sum
  of tubal nuclear norm

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

15 December 2017
Tai-Xiang Jiang
Tingzhu Huang
Xile Zhao
Liang-Jian Deng
ArXivPDFHTML

Papers citing "Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm"

11 / 11 papers shown
Title
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation
Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation
Yangyang Xu
Kexin Li
Li Yang
You-wei Wen
26
0
0
25 Apr 2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA
Lanlan Feng
Ce Zhu
Yipeng Liu
Saiprasad Ravishankar
Longxiu Huang
39
0
0
20 Jan 2025
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu
Zhi Han
Yandong Tang
Xi-Le Zhao
Yao Wang
50
1
0
22 Jan 2024
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers
Zhi-yong Wang
H. C. So
A. Zoubir
33
5
0
10 Oct 2023
Non-convex approaches for low-rank tensor completion under tubal
  sampling
Non-convex approaches for low-rank tensor completion under tubal sampling
Zheng Tan
Longxiu Huang
HanQin Cai
Y. Lou
40
2
0
17 Mar 2023
Global Weighted Tensor Nuclear Norm for Tensor Robust Principal
  Component Analysis
Global Weighted Tensor Nuclear Norm for Tensor Robust Principal Component Analysis
Libin Wang
Yulong Wang
Shiyuan Wang
Youheng Liu
Yutao Hu
Long-Biao Chen
Hong Chen
33
1
0
28 Sep 2022
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic
  Concave Penalty Function
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function
Hongbing Zhang
Xinyi Liu
Chang-Shu Liu
Hongtao Fan
Yajing Li
Xinyun Zhu
22
7
0
25 Jun 2022
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave
  Penalty
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty
Hongbing Zhang
Xinyi Liu
Hongtao Fan
Yajing Li
Yinlin Ye
33
0
0
30 Jan 2022
Hyperspectral Image Denoising via Global Spatial-Spectral Total
  Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Haijin Zeng
Xiaozhen Xie
J. Ning
52
48
0
30 May 2020
Deep Plug-and-play Prior for Low-rank Tensor Completion
Deep Plug-and-play Prior for Low-rank Tensor Completion
Xile Zhao
Wen-Hao Xu
Tai-Xiang Jiang
Yao Wang
Michael K. Ng
26
91
0
11 May 2019
Tensor Robust Principal Component Analysis with A New Tensor Nuclear
  Norm
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Canyi Lu
Jiashi Feng
Yudong Chen
Wei Liu
Zhouchen Lin
Shuicheng Yan
56
736
0
10 Apr 2018
1