Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion

7 September 2018

Papers citing "Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion"

9 / 9 papers shown

Title
Image Reconstruction using Superpixel Clustering and Tensor Completion Maame G. Asante-Mensah Anh-Huy Phan S. Ahmadi-Asl Z. Aghbari A. Cichocki SupR 32 7 0 16 May 2023
Non-convex approaches for low-rank tensor completion under tubal sampling Zheng Tan Longxiu Huang HanQin Cai Y. Lou 38 2 0 17 Mar 2023
Latent Matrices for Tensor Network Decomposition and to Tensor Completion Pei-Tse Yang Weijun Sun Qinbin Zhao Guoxu Zhou 18 1 0 07 Oct 2022
Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Remote Sensing Image Inpainting Wen-Jie Zheng Xile Zhao Yu-Bang Zheng Z. Pang 33 19 0 13 Sep 2021
Multi-Tensor Network Representation for High-Order Tensor Completion Chang Nie Huan Wang Zhihui Lai 17 2 0 09 Sep 2021
Fast Hypergraph Regularized Nonnegative Tensor Ring Factorization Based on Low-Rank Approximation Xinhai Zhao Yuyuan Yu Guoxu Zhou Qibin Zhao Weijun Sun 11 0 0 06 Sep 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 27 119 0 07 Jul 2021
Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion Tai-Xiang Jiang Xile Zhao Hao Zhang Michael K. Ng 40 49 0 26 Sep 2020
High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format Longhao Yuan Qibin Zhao Lihua Gui Jianting Cao ViT 16 55 0 05 Apr 2018