Cyclic tensor singular value decomposition with applications in low-rank high-order tensor recovery-Reference-Cited by-同舟云学术

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Cyclic tensor singular value decomposition with applications in low-rank high-order tensor recovery

Published:2024-12 Issue: Volume:225 Page:109628
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Zhang Yigong,Tu Zhihui,Lu Jian^ORCID,Xu Chen,Ng Michael K.

Publisher

Elsevier BV

Reference57 articles.

1. Tensor methods in computer vision and deep learning;Panagakis;Proc. IEEE,2021

2. From few to many: illumination cone models for face recognition under variable lighting and pose;Georghiades;IEEE Trans. Pattern Anal. Mach. Intell.,2001

3. Hyperspectral compressive snapshot reconstruction via coupled low-rank subspace representation and self-supervised deep network;Chen;IEEE Trans. Image Process.,2024

4. Linked component analysis from matrices to high-order tensors: Applications to biomedical data;Zhou;Proc. IEEE,2016

5. Exploiting efficient representations in large-scale tensor decompositions;Vervliet;SIAM J. Sci. Comput.,2019

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