A fast correction approach to tensor robust principal component analysis

A fast correction approach to tensor robust principal component analysis

Tensor robust principal component analysis (TRPCA) is a useful approach for obtaining low-rank data corrupted by noise or outliers. However, existing TRPCA methods face certain challenges when it comes to estimating the tensor rank and the sparsity accurately. The commonly used tensor nuclear norm (...

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Bibliographic Details
Main Authors: Zhang, Zhechen, Liu, Sanyang, Lin, Zhiping, Xue, Jize, Liu, Lixia
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Tensor nuclear norm
Tensor singular value decomposition
Online Access:https://hdl.handle.net/10356/180347

Internet

https://hdl.handle.net/10356/180347

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