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    IPMI
    2009
    Springer
    235views Medical Imaging» more  IPMI 2009»
    Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
    15 years 10 months ago
    Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
    Download  people.csail.mit.edu
    In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
    Carl-Fredrik Westin, W. Eric L. Grimson, Xiaogang ...
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    KDD
    2002
    ACM
    293views Data Mining» more  KDD 2002»
    Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
    15 years 10 months ago
    Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
    Download  www.snn.ru.nl
    We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
    Alexander Ypma, Tom Heskes
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    CSDA
    2006
    85views more  CSDA 2006»
    Two-way Poisson mixture models for simultaneous document classification and word clustering
    14 years 9 months ago
    Two-way Poisson mixture models for simultaneous document classification and word clustering
    Download  www.stat.psu.edu
    An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
    Jia Li, Hongyuan Zha
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    CLASSIFICATION
    2007
    105views more  CLASSIFICATION 2007»
    Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
    14 years 9 months ago
    Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
    Download  www.stat.washington.edu
    Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
    Chris Fraley, Adrian E. Raftery
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    ESANN
    2007
    144views Neural Networks» more  ESANN 2007»
    Mixtures of robust probabilistic principal component analyzers
    14 years 11 months ago
    Mixtures of robust probabilistic principal component analyzers
    Download  www.dice.ucl.ac.be
    Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
    Cédric Archambeau, Nicolas Delannay, Michel...
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