Subspace-orbit randomized algorithms for low rank approximations of third-order tensors in t-product format

This paper focuses on computing low rank approximations of third-order tensors in the t-product format using random techniques. Given a truncated term K, we derive randomized algorithms for approximating the K-term t-SVD, which is called as the subspace-orbit randomized t-SVD (sort-SVD). Additionall...

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Bibliographic Details

Published in:	Pattern recognition Vol. 170; p. 112066
Main Authors:	Wang, Xuezhong, Wang, Kai, Mo, Changxin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	Deterministic error Probabilistic error Randomized t-SVD Subspace-orbit t-SVD t-SVD Tensor-tensor product t-SVD Randomized t-SVD Tensor-tensor product Probabilistic error Subspace-orbit t-SVD Deterministic error
ISSN:	0031-3203
Online Access:	Get full text
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