Bayesian Robust Tucker Decomposition for Multiway Data Analysis
Author:
Affiliation:
1. Guangdong University of Technology,School of Automation,Guangzhou,China
2. Guangdong University of Technology Guangzhou, China & RIKEN AIP,School of Automation,Tokyo,Japan
Funder
National Natural Science Foundation of China
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727642.pdf?arnumber=9727642
Reference19 articles.
1. Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination
2. Tensor Decompositions and Applications
3. A generalized graph regularized non-negative tucker decomposition framework for tensor data representation;qiu;IEEE Transactions on Cybernetics,2020
4. Bayesian learning for neural networks;hinton,1995
5. Variational message passing;winn;J Mach Learn Res,2005
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1. Estimating uterine activity from electrohysterogram measurements via statistical tensor decomposition;Biomedical Signal Processing and Control;2023-08
2. A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis;International Journal of Machine Learning and Cybernetics;2022-09-01
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