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    ICASSP
    2010
    IEEE
    138views Signal Processing» more  ICASSP 2010»
    Subspace Gaussian Mixture Models for speech recognition
    13 years 8 months ago
    Subspace Gaussian Mixture Models for speech recognition
    Download  www.lsv.uni-saarland.de
    We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
    Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
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    SBBD
    2004
    119views Database» more  SBBD 2004»
    Computing the Dependency Basis for Nested List Attributes
    13 years 9 months ago
    Computing the Dependency Basis for Nested List Attributes
    Download  www.lbd.dcc.ufmg.br
    Multi-valued dependencies (MVDs) are an important class of constraints that is fundamental for relational database design. Although modern applications increasingly require the su...
    Sven Hartmann, Sebastian Link
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    CSDA
    2008
    91views more  CSDA 2008»
    Model-based clustering for longitudinal data
    13 years 8 months ago
    Model-based clustering for longitudinal data
    Download  www.mat.puc.cl
    A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
    Rolando De la Cruz-Mesía, Fernando A. Quint...
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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    14 years 5 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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    TIP
    2002
    179views more  TIP 2002»
    Unsupervised image classification, segmentation, and enhancement using ICA mixture models
    13 years 8 months ago
    Unsupervised image classification, segmentation, and enhancement using ICA mixture models
    Download  www.cnbc.cmu.edu
    An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
    Te-Won Lee, Michael S. Lewicki
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