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2016 | OriginalPaper | Buchkapitel

A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification

verfasst von : Wentao Fan, Nizar Bouguila

Erschienen in: Advances in Visual Computing

Verlag: Springer International Publishing

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Abstract

In this paper, we propose a hierarchical Dirichlet process (HDP) mixture model of inverted Dirichlet (ID) distributions. The proposed model is learned within a principled variational Bayesian framework that we have developed by selecting appropriate priors for the parameters and calculating good approximations to the exact posteriors. The proposed statistical framework is validated via a challenging application namely multimodal person identity verification.

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Metadaten
Titel
A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification
verfasst von
Wentao Fan
Nizar Bouguila
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-50832-0_39