Imbalanced low-rank tensor completion via latent matrix factorization

Tensor completion has been widely used in computer vision and machine learning. Most existing tensor completion methods empirically assume the intrinsic tensor is simultaneous low-rank in all over modes. However, tensor data recorded from real-world applications may conflict with these assumptions,...

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Bibliographic Details

Published in:	Neural networks Vol. 155; pp. 369 - 382
Main Authors:	Qiu, Yuning, Zhou, Guoxu, Zeng, Junhua, Zhao, Qibin, Xie, Shengli
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2022
Subjects:	Image/video inpainting Low-rank tensor recovery Tensor analysis Tensor completion Tensor ring decomposition Tensor completion Low-rank tensor recovery Tensor analysis Image/video inpainting Tensor ring decomposition
ISSN:	0893-6080, 1879-2782, 1879-2782
Online Access:	Get full text
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