Tensor robust principal component analysis with total generalized variation for high-dimensional data recovery-Reference-Cited by-同舟云学术

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Tensor robust principal component analysis with total generalized variation for high-dimensional data recovery

Published:2024-12 Issue: Volume:483 Page:128980
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Xu Zhi,Yang Jing-Hua^ORCID,Wang Chuan-long,Wang Fusheng,Yan Xi-hong

Publisher

Elsevier BV

Reference62 articles.

1. Tensor decomposition for signal processing and machine learning;Sidiropoulos;IEEE Trans. Signal Process.,2017

2. Tensor decompositions in wireless communications and mimo radar;Chen;IEEE J. Sel. Top. Signal Process.,2021

3. Deep plug-and-play prior for low-rank tensor completion;Zhao;Neurocomputing,2020

4. Framelet representation of tensor nuclear norm for third-order tensor completion;Jiang;IEEE Trans. Image Process.,2020

5. Tensor completion via complementary global, local, and nonlocal priors;Zhao;IEEE Trans. Image Process.,2021

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