Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor-Reference-Cited by-同舟云学术

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Guarantees for Existence of a Best Canonical Polyadic Approximation of a Noisy Low-Rank Tensor

Published:2022-03 Issue:1 Volume:43 Page:328-369
ISSN:0895-4798
Container-title:SIAM Journal on Matrix Analysis and Applications
language:en
Short-container-title:SIAM J. Matrix Anal. Appl.

Author:

Evert Eric^ORCID,De Lathauwer Lieven^ORCID

Funder

Onderzoeksprogramma Artificiele Intelligentie Vlaanderen

Leuven Institute for Artificial Intelligence

Fonds De La Recherche Scientifique - FNRS

KU Leuven

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Analysis

Reference46 articles.

1. On some fixed point theorems for multivalued mappings

2. Exact probabilities for typical ranks of 2×2×2 and 3×3×2 tensors

3. Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

4. A Multilinear Singular Value Decomposition

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On Best Low Rank Approximation of Positive Definite Tensors;SIAM Journal on Matrix Analysis and Applications;2023-06-07

2. Tensorlab⁺: A case study on reproducibility in tensor research;Computing in Science & Engineering;2023

3. Canonical Polyadic Decomposition via the Generalized Schur Decomposition;IEEE Signal Processing Letters;2022

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