When Laplacian Scale Mixture Meets Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion-Reference-Cited by-同舟云学术

When Laplacian Scale Mixture Meets Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion

Published:2022-12 Issue:12 Volume:52 Page:13887-13901
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Xue Jize¹^ORCID,Zhao Yongqiang¹^ORCID,Bu Yuanyang¹^ORCID,Chan Jonathan Cheung-Wai²^ORCID,Kong Seong G.³^ORCID

Affiliation:

1. Research and Development Institute, Northwestern Polytechnical University in Shenzhen, Shenzhen, China

2. Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussel, Belgium

3. Department of Computer Engineering, Sejong University, Seoul, South Korea

Funder

National Natural Science Foundation of China

Key Research and Development Plan of Shaanxi Province

Science, Technology, and Innovation Commission of Shenzhen Municipality

Natural Science Basic Research Plan in Shaanxi Province of China

Institute of Information and Communications Technology Planning and Evaluation (IITP) grant

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/9954937/09694520.pdf?arnumber=9694520

Reference73 articles.

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4. Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination

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