*************************************************************************** Tensor completion using total variation and low-rank matrix factorization *************************************************************************** Copyright: Teng-Yu Ji, Ting-Zhu Huang*, Xi-Le Zhao, Tian-Hui Ma, Gang Liu. 1). Get Started run Demo 2). Details more detail can be found in [1] [1] Teng-Yu Ji, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Gang Liu. Tensor completion using total variation and low-rank matrix factorization, Information Sciences, 2016. Please cite our paper listed in the following BibTex if you use any part of our source code or data: (1) @article{JiTV, title={Tensor completion using total variation and low-rank matrix factorization}, author={Ji, Teng-Yu and Huang, Ting-Zhu and Zhao, Xi-Le and Ma, Tian-Hui and Liu, Gang}, journal={Information Sciences}, volume={326}, pages={243--257}, year={2016}, publisher={Elsevier} } (2) @article{ji2017non, title={A non-convex tensor rank approximation for tensor completion}, author={Ji, Teng-Yu and Huang, Ting-Zhu and Zhao, Xi-Le and Ma, Tian-Hui and Deng, Liang-Jian}, journal={Applied Mathematical Modelling}, volume={48}, pages={410--422}, year={2017}, publisher={Elsevier} } (3) @article{jiang2018matrix, title={Matrix factorization for low-rank tensor completion using framelet prior}, author={Jiang, Tai-Xiang and Huang, Ting-Zhu and Zhao, Xi-Le and Ji, Teng-Yu and Deng, Liang-Jian}, journal={Information Sciences}, volume={436}, pages={403--417}, year={2018}, publisher={Elsevier} }
zhaoxile/Tensor-completion-using-total-variation-and-low-rank-matrix-factorization
code of Tensor completion using total variation and low-rank matrix factorization
MATLAB