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    SDM
    2008
    SIAM
    256views Data Mining» more  SDM 2008»
    Graph Mining with Variational Dirichlet Process Mixture Models
    13 years 9 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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    CVPR
    2009
    IEEE
    321views Computer Vision» more  CVPR 2009»
    Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
    14 years 2 months ago
    Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition
    Download  www.cfar.umd.edu
    While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
    Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou
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    BMCBI
    2007
    144views more  BMCBI 2007»
    Accelerated search for biomolecular network models to interpret high-throughput experimental data
    13 years 7 months ago
    Accelerated search for biomolecular network models to interpret high-throughput experimental data
    Download  www.biomedcentral.com
    Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
    Suman Datta, Bahrad A. Sokhansanj
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    BMCBI
    2010
    116views more  BMCBI 2010»
    A hybrid approach to protein folding problem integrating constraint programming with local search
    13 years 7 months ago
    A hybrid approach to protein folding problem integrating constraint programming with local search
    Download  www.biomedcentral.com
    Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
    Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
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    ICCV
    1999
    IEEE
    160views Computer Vision» more  ICCV 1999»
    Learning Low-Level Vision
    13 years 12 months ago
    Learning Low-Level Vision
    Download  www.cs.toronto.edu
    We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
    William T. Freeman, Egon C. Pasztor
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