Nonnegative Matrix Factorisation for multimodal data analysis

Slim Essid

Nonnegative Matrix Factorisation for multimodal data analysis

Slim Essid ^{1, 2}

1 S2A - Signal, Statistique et Apprentissage

LTCI - Laboratoire Traitement et Communication de l'Information

2 IDS - Département Images, Données, Signal

Document type :

Conference papers

Domain :

Computer Science [cs] / Machine Learning [cs.LG]

Computer Science [cs] / Sound [cs.SD]

Computer Science [cs] / Signal and Image Processing

Cognitive science / Neuroscience

Engineering Sciences [physics] / Signal and Image processing

Complete list of metadatas

https://hal.telecom-paristech.fr/hal-02288528
Contributor : Telecomparis Hal <>
Submitted on : Saturday, September 14, 2019 - 6:55:13 PM
Last modification on : Monday, September 16, 2019 - 1:09:57 AM

Nonnegative Matrix Factorisation for multimodal data analysis

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Nonnegative Matrix Factorisation for multimodal data analysis

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