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Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation

Published Online: 2019-08-30

Published Print: 2019-11

Authors

Ding, Meng

Huang, Ting-Zhu

Ji, Teng-Yu

Zhao, Xi-Le

Yang, Jing-Hua
Funding

Funding for this research was provided by:

the National Science Foundation of China (61772003)

the National Science Foundation of China (61876203)

the Fundamental Research Funds for the Central Universities (31020180QD126)

the Fundamental Research Funds for the Central Universities (ZYGX2016J132)

Science Strength Promotion Programme of UESTC
License Information

Text and Data Mining valid from 2019-08-30

Version of Record valid from 2019-08-30
More Information

Article History

Received: 23 August 2018

Revised: 10 February 2019

Accepted: 23 August 2019

First Online: 30 August 2019

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