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    JMLR
    2006
    85views more  JMLR 2006»
    Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
    13 years 10 months ago
    Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation
    Download  people.ee.duke.edu
    Kazuho Watanabe, Sumio Watanabe
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    CSDA
    2007
    134views more  CSDA 2007»
    Variational approximations in Bayesian model selection for finite mixture distributions
    13 years 10 months ago
    Variational approximations in Bayesian model selection for finite mixture distributions
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    Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
    Clare A. McGrory, D. M. Titterington
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    ICPR
    2004
    IEEE
    208views computer vision» more  ICPR 2004»
    Bayesian Face Recognition Based on Gaussian Mixture Models
    14 years 12 months ago
    Bayesian Face Recognition Based on Gaussian Mixture Models
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    Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
    Xiaogang Wang, Xiaoou Tang
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    UAI
    2003
    278views Artificial Intelligence» more  UAI 2003»
    Bayesian Hierarchical Mixtures of Experts
    14 years 6 days ago
    Bayesian Hierarchical Mixtures of Experts
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    The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
    Christopher M. Bishop, Markus Svensén
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    PR
    2010
    129views more  PR 2010»
    Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
    13 years 9 months ago
    Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
    Download  hal.archives-ouvertes.fr
    Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
    Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
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