Bayesian robust tensor completion via CP decomposition-Reference-Cited by-同舟云学术

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Bayesian robust tensor completion via CP decomposition

Published:2022-11 Issue: Volume:163 Page:121-128
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Wang Xiaohang^ORCID,Yu Philip L.H.^ORCID,Yang Weidong,Su Jun

Funder

National Natural Science Foundation of China

The Education University of Hong Kong

Education University of Hong Kong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. Scalable tensor factorizations for incomplete data;Acar;Chemom. Intell. Lab. Syst.,2011

2. Robust metric learning based on the rescaled hinge loss;Al-Obaidi;Int. J. Mach. Learn. Cybern.,2020

3. Robust Kronecker component analysis;Bahri;IEEE Trans. Pattern Anal. Mach. Intell.,2018

4. Nonconvex low-rank tensor completion from noisy data;Cai;Oper. Res.,2022

5. Auto-weighted robust low-rank tensor completion via tensor-train;Chen;Inf Sci (Ny),2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Task Collaborative Attention Network for Pedestrian Attribute Recognition;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

2. Robust low-rank tensor completion via new regularized model with approximate SVD;Information Sciences;2023-06

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