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    PAMI
    2000
    112views more  PAMI 2000»
    ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separ
    13 years 7 months ago
    ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separ
    Download  papers.cnl.salk.edu
    Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnow...
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    ICML
    2008
    IEEE
    195views Machine Learning» more  ICML 2008»
    Estimating local optimums in EM algorithm over Gaussian mixture model
    14 years 8 months ago
    Estimating local optimums in EM algorithm over Gaussian mixture model
    Download  www.comp.nus.edu.sg
    EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
    Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
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    ALT
    2003
    Springer
    191views Machine Learning» more  ALT 2003»
    Kernel Trick Embedded Gaussian Mixture Model
    14 years 4 months ago
    Kernel Trick Embedded Gaussian Mixture Model
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    In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
    Jingdong Wang, Jianguo Lee, Changshui Zhang
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    ICPR
    2008
    IEEE
    160views Computer Vision» more  ICPR 2008»
    Boosting Gaussian mixture models via discriminant analysis
    14 years 2 months ago
    Boosting Gaussian mixture models via discriminant analysis
    Download  figment.cse.usf.edu
    The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
    Hao Tang, Thomas S. Huang
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    NIPS
    2003
    86views Information Technology» more  NIPS 2003»
    Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
    13 years 9 months ago
    Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
    Download  books.nips.cc
    Mark Girolami, Ata Kabán
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