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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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    SDM
    2008
    SIAM
    256views Data Mining» more  SDM 2008»
    Graph Mining with Variational Dirichlet Process Mixture Models
    13 years 6 months ago
    Graph Mining with Variational Dirichlet Process Mixture Models
    Download  sato-www.cs.titech.ac.jp
    Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
    Koji Tsuda, Kenichi Kurihara
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    ICCV
    2007
    IEEE
    219views Computer Vision» more  ICCV 2007»
    Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
    13 years 11 months ago
    Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
    Download  www.iis.sinica.edu.tw
    This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
    Yong-Dian Jian, Chu-Song Chen
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    JMLR
    2010
    169views more  JMLR 2010»
    Matrix-Variate Dirichlet Process Mixture Models
    12 years 11 months ago
    Matrix-Variate Dirichlet Process Mixture Models
    Download  www.cs.berkeley.edu
    We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
    Zhihua Zhang, Guang Dai, Michael I. Jordan
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    CSDA
    2010
    208views more  CSDA 2010»
    Bayesian density estimation and model selection using nonparametric hierarchical mixtures
    13 years 5 months ago
    Bayesian density estimation and model selection using nonparametric hierarchical mixtures
    Download  www.mi.imati.cnr.it
    We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
    Raffaele Argiento, Alessandra Guglielmi, Antonio P...
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