Tensor Robust Principal Component Analysis With Side Information: Models and Applications-Reference-Cited by-同舟云学术

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Tensor Robust Principal Component Analysis With Side Information: Models and Applications

Published:2023-08 Issue:8 Volume:33 Page:3713-3725
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Han Zhi¹^ORCID,Zhang Shaojie¹,Liu Zhiyu¹,Wang Yanmei¹,Yao Junping²,Wang Yao³^ORCID

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

2. Xi’an Research Institute of High-Tech, Xi’an, China

3. Center for Intelligent Decision-Making and Machine Learning, School of Management, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research

Natural Science Foundation of Liaoning Province

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10207864/10026252.pdf?arnumber=10026252

Reference66 articles.

1. Weighted Low-Rank Tensor Recovery for Hyperspectral Image Restoration

2. An Order-$p$ Tensor Factorization with Applications in Imaging

3. Compressed sensing with side information: Geometrical interpretation and performance bounds

4. Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

Cited by 3 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. Tensor robust PCA with nonconvex and nonlocal regularization;Computer Vision and Image Understanding;2024-06

2. A fast correction approach to tensor robust principal component analysis;Applied Mathematical Modelling;2024-04

3. Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery;IEEE Transactions on Circuits and Systems for Video Technology;2023

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