Hybrid CUR-type decomposition of tensors in the Tucker format

Fuente: arXiv
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1. Verfasser: Begovic, Erna
Format: Preprint
Veröffentlicht: 2020
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author Begovic, Erna
author_facet Begovic, Erna
contents The paper introduces a hybrid approach to the CUR-type decomposition of tensors in the Tucker format. The idea of the hybrid algorithm is to write a tensor $\mathcal{X}$ as a product of a core tensor $\mathcal{S}$, a matrix $C$ obtained by extracting mode-$k$ fibers of $\mathcal{X}$, and matrices $U_j$, $j=1,\ldots,k-1,k+1,\ldots,d$, chosen to minimize the approximation error. The approximation can easily be modified to preserve the fibers in more than one mode. The approximation error obtained this way is smaller than the one from the standard tensor CUR-type method. This difference increases as the tensor dimension increases. It also increases as the number of modes in which the original fibers are preserved decreases.
format Preprint
id arxiv_https___arxiv_org_abs_2002_01992
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Hybrid CUR-type decomposition of tensors in the Tucker format
Begovic, Erna
Numerical Analysis
15A69, 15A23, 65F30
The paper introduces a hybrid approach to the CUR-type decomposition of tensors in the Tucker format. The idea of the hybrid algorithm is to write a tensor $\mathcal{X}$ as a product of a core tensor $\mathcal{S}$, a matrix $C$ obtained by extracting mode-$k$ fibers of $\mathcal{X}$, and matrices $U_j$, $j=1,\ldots,k-1,k+1,\ldots,d$, chosen to minimize the approximation error. The approximation can easily be modified to preserve the fibers in more than one mode. The approximation error obtained this way is smaller than the one from the standard tensor CUR-type method. This difference increases as the tensor dimension increases. It also increases as the number of modes in which the original fibers are preserved decreases.
title Hybrid CUR-type decomposition of tensors in the Tucker format
topic Numerical Analysis
15A69, 15A23, 65F30
url https://arxiv.org/abs/2002.01992