Tensor recovery based on Bivariate Equivalent Minimax-Concave Penalty-Reference-Cited by-同舟云学术

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Tensor recovery based on Bivariate Equivalent Minimax-Concave Penalty

Published:2024-05 Issue: Volume:149 Page:110253
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhang Hongbing^ORCID,Fan Hongtao,Li Yajing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference40 articles.

1. Robust low tubal rank tensor completion via factor tensor norm minimization;Jiang;Pattern Recognit.,2023

2. Low-rank tensor recovery via non-convex regularization, structured factorization and spatio-temporal characteristics;Yu;Pattern Recognit.,2023

3. Low-tubal-rank tensor recovery with multilayer subspace prior learning;Kong;Pattern Recognit.,2023

4. Tensor train factorization under noisy and incomplete data with automatic rank estimation;Xu;Pattern Recognit.,2023

5. Hyperspectral image denoising via spectral noise distribution bootstrap;Pan;Pattern Recognit.,2023

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