High-order tensor completion via gradient-based optimization under tensor train format

Tensor train (TT) decomposition has drawn people’s attention due to its powerful representation ability and performance stability in high-order tensors. In this paper, we propose a novel approach to recover the missing entries of incomplete data represented by higher-order tensors. We attempt to fin...

Full description

Bibliographic Details

Published in:	Signal processing. Image communication Vol. 73; pp. 53 - 61
Main Authors:	Yuan, Longhao, Zhao, Qibin, Gui, Lihua, Cao, Jianting
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.04.2019 Elsevier BV
Subjects:	Algorithms Decomposition Gradient-based optimization Higher-order tensorization Mathematical analysis Optimization Tensor completion Tensor train decomposition Tensors Visual data recovery Tensor completion Visual data recovery Higher-order tensorization Gradient-based optimization Tensor train decomposition
ISSN:	0923-5965, 1879-2677
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!