Robust Low-Rank Tensor Minimization via a New Tensor Spectral $k$ -Support Norm-Reference-Cited by-同舟云学术

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Robust Low-Rank Tensor Minimization via a New Tensor Spectral $k$ -Support Norm

Published:2020 Issue: Volume:29 Page:2314-2327
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lou Jian^ORCID,Cheung Yiu-Ming^ORCID

Funder

National Natural Science Foundation of China

Hong Kong Baptist University

Innovation and Technology Fund

Faculty Research Grant of HKBU

SZSTI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8835130/08870194.pdf?arnumber=8870194

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3. A Tensor Method Based on Enhanced Tensor Nuclear Norm and Hypergraph Laplacian Regularization for Pan-Cancer Omics Data Analysis;IEEE Journal of Biomedical and Health Informatics;2023-03

4. Tensor Spectral k-Support Norm Minimization for Detecting Infrared Dim and Small Target Against Urban Backgrounds;IEEE Transactions on Geoscience and Remote Sensing;2023

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