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    PAMI
    2006
    215views more  PAMI 2006»
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    13 years 4 months ago
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    Download  www.cs.uoi.gr
    We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
    Constantinos Constantinopoulos, Michalis K. Titsia...
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    PAMI
    2002
    114views more  PAMI 2002»
    Unsupervised Learning of Finite Mixture Models
    13 years 4 months ago
    Unsupervised Learning of Finite Mixture Models
    Download  dataclustering.cse.msu.edu
    Mário A. T. Figueiredo, Anil K. Jain
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    NAACL
    2010
    142views Computational Linguistics» more  NAACL 2010»
    Using Gaussian Mixture Models to Detect Figurative Language in Context
    13 years 2 months ago
    Using Gaussian Mixture Models to Detect Figurative Language in Context
    Download  www.coli.uni-saarland.de
    We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...
    Linlin Li, Caroline Sporleder
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    ISDA
    2010
    IEEE
    280views Operating System» more  ISDA 2010»
    Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
    13 years 1 months ago
    Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
    Download  nicolagreggio.altervista.org
    The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
    Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
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    KDD
    2010
    ACM
    326views Data Mining» more  KDD 2010»
    Document clustering via dirichlet process mixture model with feature selection
    13 years 2 months ago
    Document clustering via dirichlet process mixture model with feature selection
    Download  math.nankai.edu.cn
    One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
    Guan Yu, Ruizhang Huang, Zhaojun Wang
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