zhaoxile / Tensor-completion-using-total-variation-and-low-rank-matrix-factorization

code of Tensor completion using total variation and low-rank matrix factorization

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 Tensor completion using total variation and low-rank matrix factorization
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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}
   }