Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning-Reference-Cited by-同舟云学术

Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning

Published:2023-05 Issue:5 Volume:53 Page:3114-3127
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Yu Yuyuan¹^ORCID,Zhou Guoxu²^ORCID,Zheng Ning³^ORCID,Qiu Yuning¹^ORCID,Xie Shengli⁴^ORCID,Zhao Qibin⁵^ORCID

Affiliation:

1. School of Automation, Guangdong University of Technology, Guangzhou, China

2. School of Automation and the Key Laboratory of Intelligent Detection and The Internet of Things in Manufacturing, Ministry of Education, Guangdong University of Technology, Guangzhou, China

3. Research Center for Statistical Machine Learning, The Institute of Statistical Mathematics, Tokyo, Japan

4. School of Automation and the Guangdong–Hong Kong–Macao Joint Laboratory for Smart Discrete Manufacturing, Guangdong University of Technology, Guangzhou, China

5. School of Automation and the Joint International Research Laboratory of Intelligent Information Processing and System Integration of IoT, Ministry of Education, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

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/ielx7/6221036/10106628/09762724.pdf?arnumber=9762724

Reference40 articles.

1. The Multilinear Engine: A Table-Driven, Least Squares Program for Solving Multilinear Problems, including the n-Way Parallel Factor Analysis Model

2. High-Order Temporal Correlation Model Learning for Time-Series Prediction

3. Image Representation and Learning With Graph-Laplacian Tucker Tensor Decomposition

4. Sparse image coding using a 3D non-negative tensor factorization

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