CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion-Reference-Cited by-同舟云学术

CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion

Published:2022 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Wang Jian-Li¹^ORCID,Huang Ting-Zhu¹^ORCID,Zhao Xi-Le¹^ORCID,Luo Yi-Si²^ORCID,Jiang Tai-Xiang³^ORCID

Affiliation:

1. School of Mathematical Sciences, Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, China

2. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China

3. School of Economic Information Engineering, FinTech Innovation Center, Southwestern University of Finance and Economics, Chengdu, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Key Project of Applied Basic Research in Sichuan Province

Applied Basic Research Project of Sichuan Province

Natural Science Foundation of Sichuan

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09946011.pdf?arnumber=9946011

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