Joint decompositions with flexible couplings

Rodrigo Cabral Farias 1 Jérémy Cohen 1 Christian Jutten 2 Pierre Comon 1
1 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
2 GIPSA-VIBS - VIBS
GIPSA-DIS - Département Images et Signal
Abstract : A Bayesian framework is proposed to define flexible coupling models for joint decompositions of data sets. Under this framework, a solution to the joint decomposition can be cast in terms of a maximum a posteriori estimator. Examples of joint posterior distributions are provided , including general Gaussian priors and non Gaussian coupling priors. Then simulations are reported and show the effectiveness of this approach to fuse information from data sets, which are inherently of different size due to different time resolution of the measurement devices.
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https://hal.archives-ouvertes.fr/hal-01135920
Contributor : Jeremy E. Cohen <>
Submitted on : Thursday, March 26, 2015 - 11:11:44 AM
Last modification on : Monday, September 23, 2019 - 4:46:12 PM
Long-term archiving on : Thursday, July 2, 2015 - 7:50:22 AM

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  • HAL Id : hal-01135920, version 1

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Rodrigo Cabral Farias, Jérémy Cohen, Christian Jutten, Pierre Comon. Joint decompositions with flexible couplings. 2015. ⟨hal-01135920v1⟩

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