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

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Advances in Visual Computing (ISVC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10073))

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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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Notes

  1. 1.

    http://conradsanderson.id.au/vidtimit.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Huaqiao University, Quanzhou, China

    Wentao Fan

  2. Concordia University, Montreal, Québec, Canada

    Nizar Bouguila

Authors
  1. Wentao Fan
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  2. Nizar Bouguila
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Corresponding author

Correspondence to Nizar Bouguila .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University, O’Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs, Redwood City, California, USA

    Sandra Skaff

  7. University of Florida, Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc., Mountain View, California, USA

    Jianyuan Min

  9. Osaka University, Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute, Monterey, California, USA

    Amela Sadagic

  11. University of Arizona, Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud, Orsay, France

    Tobias Isenberg

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Fan, W., Bouguila, N. (2016). A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10073. Springer, Cham. https://doi.org/10.1007/978-3-319-50832-0_39

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  • DOI: https://doi.org/10.1007/978-3-319-50832-0_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50831-3

  • Online ISBN: 978-3-319-50832-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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