Bayesian inference over ICA models: application to multibiometric score fusion with quality estimates

Rouigueb, Abdenebi, Chitroub, Salim and Bouridane, Ahmed (2014) Bayesian inference over ICA models: application to multibiometric score fusion with quality estimates. Journal of Applied Statistics, 41 (10). pp. 2123-2140. ISSN 0266-4763

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Abstract

Bayesian networks are not well-formulated for continuous variables. The majority of recent works dealing with Bayesian inference are restricted only to special types of continuous variables such as the conditional linear Gaussian model for Gaussian variables. In this context, an exact Bayesian inference algorithm for clusters of continuous variables which may be approximated by independent component analysis models is proposed. The complexity in memory space is linear and the overfitting problem is attenuated, while the inference time is still exponential. Experiments for multibiometric score fusion with quality estimates are conducted, and it is observed that the performances are satisfactory compared to some known fusion techniques.

Item Type:	Article
Uncontrolled Keywords:	independent component analysis, Bayesian inference, multibiometric score fusion, quality estimates, computational geometry
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	10 Jul 2014 09:47
Last Modified:	13 Oct 2019 00:37
URI:	http://nrl.northumbria.ac.uk/id/eprint/17057

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