Robust Bilinear Probabilistic PCA Using a Matrix Variate t Distribution-Reference-Cited by-同舟云学术

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Robust Bilinear Probabilistic PCA Using a Matrix Variate t Distribution

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:

Zhao Jianhua¹^ORCID,Ma Xuan¹^ORCID,Shi Lei¹^ORCID,Wang Zhen²^ORCID

Affiliation:

1. School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.

2. School of Artificial Intelligence, Optics and Electronics (iOPEN) and the School of Cybersecurity, Northwestern Polytechnical University, Xi'an 710072, China.

Funder

National Natural Science Foundation of China

Science Foundation of Yunnan Province

Fok Ying-Tong Education Foundation of China

Key Technology Research and Development Program of Science and Technology-Scientific and Technological Innovation Team of Shaanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09771070.pdf?arnumber=9771070

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