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    ISBI
    2011
    IEEE
    212views Medical Imaging» more  ISBI 2011»
    Exact integration of diffusion orientation distribution functions for graph-based diffusion MRI analysis
    13 years 20 days ago
    Exact integration of diffusion orientation distribution functions for graph-based diffusion MRI analysis
    Download  www.cs.sfu.ca
    Graph-based image analysis methods are increasingly being applied to diffusion MRI (dMRI) analysis. Unfortunately, weighting the graph for these methods involves solving a complex...
    Brian G. Booth, Ghassan Hamarneh
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    CGA
    1999
    150views Computational Geometry» more  CGA 1999»
    Visualizing Large Telecommunication Data Sets
    13 years 8 months ago
    Visualizing Large Telecommunication Data Sets
    Download  infovis.uni-konstanz.de
    displays to abstract network data and let users interactwithit.Wehaveimplementedafull-scaleSwift3D prototype, which generated the examples we present here. Swift-3D We developed Sw...
    Eleftherios Koutsofios, Stephen C. North, Daniel A...
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    KDD
    2003
    ACM
    217views Data Mining» more  KDD 2003»
    Algorithms for estimating relative importance in networks
    14 years 9 months ago
    Algorithms for estimating relative importance in networks
    Download  www.datalab.uci.edu
    Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
    Scott White, Padhraic Smyth
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    CVPR
    2005
    IEEE
    179views Computer Vision» more  CVPR 2005»
    Optimal Sub-Shape Models by Minimum Description Length
    14 years 11 months ago
    Optimal Sub-Shape Models by Minimum Description Length
    Download  www.cs.unm.edu
    Active shape models are a powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowle...
    Georg Langs, Philipp Peloschek, Horst Bischof
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    ACL
    2012
    230views Computational Linguistics» more  ACL 2012»
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    11 years 11 months ago
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    Download  aclweb.org
    Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
    Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
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