Multi-Tensor Network Representation for High-Order Tensor Completion

This work studies the problem of high-dimensional data (referred to as tensors) completion from partially observed samplings. We consider that a tensor is a superposition of multiple low-rank components. In particular, each component can be represented as multilinear connections over several latent...

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Bibliographic Details
Published inarXiv.org
Main Authors Nie, Chang, Wang, Huan, Lai, Zhihui
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 21.09.2021
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