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Data mining with tensor decompositions

Authors :
Elaheh Sobhani
Pierre Comon
Massoud Babaie-Zadeh
Comon, Pierre
GIPSA - Communication Information and Complex Systems (GIPSA-CICS)
Département Images et Signal (GIPSA-DIS)
Grenoble Images Parole Signal Automatique (GIPSA-lab )
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab )
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Department of Electrical Engineering [Tehran] (EE department of SUT [Tehran])
Sharif University of Technology [Tehran] (SUT)
Source :
HAL, GRETSI 2019, GRETSI 2019-XXVIIème Colloque francophone de traitement du signal et des images, GRETSI 2019-XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

National audience; ext mining is addressed by identifying multiview models. Following the recent works of A.Anandkumar, we show that the algorithms previously proposed exhibit important drawbacks. The algorithm subsequently proposed permits to decompose a nonnegative tensor built with sample joint probabilities. It compares favorably to the former on synthetically generated data sets.

Details

Language :
English
Database :
OpenAIRE
Journal :
HAL, GRETSI 2019, GRETSI 2019-XXVIIème Colloque francophone de traitement du signal et des images, GRETSI 2019-XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France
Accession number :
edsair.dedup.wf.001..4a6d81d6a081c51bd3efc7b155b69478