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...

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Vydáno v:	Signal processing. Image communication Ročník 73; s. 53 - 61
Hlavní autoři:	Yuan, Longhao, Zhao, Qibin, Gui, Lihua, Cao, Jianting
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.04.2019 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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