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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 8 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
    14 years 8 days 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
    14 years 5 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
    13 years 5 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 11 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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