Computation of low-rank tensor approximation under existence constraint via a forward-backward algorithm-Reference-Cited by-同舟云学术

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Computation of low-rank tensor approximation under existence constraint via a forward-backward algorithm

Published:2021-11 Issue: Volume:188 Page:108178
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Nazih Marouane^ORCID,Minaoui Khalid,Sobhani Elaheh^ORCID,Comon Pierre^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference60 articles.

1. Tensor decompositions-state of the art and applications;Comon,2000

2. The expression of a tensor or a polyadic as a sum of products;Hitchcock;J. Math. Phys.,1927

3. R.A. Harshman, et al., Foundations of the PARAFAC procedure: models and conditions for an “explanatory” multimodal factor analysis(1970).

4. Determination and proof of minimum uniqueness conditions for PARAFAC1;Harshman;UCLA Work. Pap. Phonetics,1972

5. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart–Young” decomposition;Carroll;Psychometrika,1970

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1. Computation of the nonnegative canonical tensor decomposition with two accelerated proximal gradient algorithms;Digital Signal Processing;2022-09

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