A new algorithm for multimodal soft coupling

Farnaz Sedighin, Massoud Babaie-Zadeh, Bertrand Rivet, Christian Jutten

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the problem of multimodal soft coupling under the Bayesian framework when variance of probabilistic model is unknown is investigated. Similarity of shared factors resulted from Nonnegative Matrix Factorization (NMF) of multimodal data sets is controlled in a soft manner by using a probabilistic model. In previous works, it is supposed that the probabilistic model and its parameters are known. However, this assumption does not always hold. In this paper it is supposed that the probabilistic model is already known but its variance is unknown. So the proposed algorithm estimates the variance of the probabilistic model along with the other parameters during the factorization procedure. Simulation results with synthetic data confirm the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationLatent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Proceedings
EditorsPetr Tichavsky, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadege Thirion-Moreau
PublisherSpringer Verlag
Pages162-171
Number of pages10
ISBN (Print)9783319535463
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017 - Grenoble, France
Duration: 21 Feb 201723 Feb 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10169 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017
Country/TerritoryFrance
CityGrenoble
Period21/02/1723/02/17

Keywords

  • Bayesian framework
  • Nonnegative matrix factorization
  • Soft coupling

Fingerprint

Dive into the research topics of 'A new algorithm for multimodal soft coupling'. Together they form a unique fingerprint.

Cite this