Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery

3 December 2018

Papers citing "Tensor N-tubal rank and its convex relaxation for low-rank tensor recovery"

9 / 9 papers shown

Title
3DeepRep: 3D Deep Low-rank Tensor Representation for Hyperspectral Image Inpainting Yunshan Li W. Gong Qianqian Wang C. Wang L. Yang 14 0 0 20 Jun 2025
Accelerating Large-Scale Regularized High-Order Tensor Recovery Wenjin Qin Hailin Wang Jingyao Hou Jianjun Wang 64 0 0 11 Jun 2025
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA Lanlan Feng Ce Zhu Yipeng Liu Saiprasad Ravishankar Longxiu Huang 105 0 0 20 Jan 2025
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 49 9 0 25 Jun 2022
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review Minghua Wang Danfeng Hong Zhu Han Jiaxin Li Jing Yao Lianru Gao Bing Zhang Jocelyn Chanussot 77 66 0 13 May 2022
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion Tai-Xiang Jiang Xile Zhao Hao Zhang Michael K. Ng 102 54 0 26 Sep 2020
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion Tai-Xiang Jiang Michael K. Ng Xile Zhao Tingzhu Huang ViT 100 150 0 16 Sep 2019
Deep Plug-and-play Prior for Low-rank Tensor Completion Xile Zhao Wen-Hao Xu Tai-Xiang Jiang Yao Wang Michael K. Ng 65 94 0 11 May 2019
Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm Tai-Xiang Jiang Tingzhu Huang Xile Zhao Liang-Jian Deng 82 108 0 15 Dec 2017