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    COMPGEOM
    2009
    ACM
    104views Discrete Geometry» more  COMPGEOM 2009»
    Shooting permanent rays among disjoint polygons in the plane
    16 years 1 months ago
    Shooting permanent rays among disjoint polygons in the plane
    Download  math.ucalgary.ca
    We present a data structure for ray shooting-and-insertion in the free space among disjoint polygonal obstacles with a total of n vertices in the plane, where each ray starts at t...
    Mashhood Ishaque, Bettina Speckmann, Csaba D. T&oa...
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    RECOMB
    2001
    Springer
    95views Computational Biology» more  RECOMB 2001»
    A structural EM algorithm for phylogenetic inference
    16 years 7 months ago
    A structural EM algorithm for phylogenetic inference
    Download  www.cs.huji.ac.il
    Nir Friedman, Matan Ninio, Itsik Pe'er, Tal Pupko
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    NIPS
    2004
    138views Information Technology» more  NIPS 2004»
    Exponentiated Gradient Algorithms for Large-margin Structured Classification
    15 years 8 months ago
    Exponentiated Gradient Algorithms for Large-margin Structured Classification
    Download  people.csail.mit.edu
    We consider the problem of structured classification, where the task is to predict a label y from an input x, and y has meaningful internal structure. Our framework includes super...
    Peter L. Bartlett, Michael Collins, Benjamin Taska...
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    CEC
    2009
    IEEE
    133views Artificial Intelligence» more  CEC 2009»
    Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
    16 years 1 months ago
    Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
    Download  www.comp.rgu.ac.uk
    —Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
    Alexander E. I. Brownlee, John A. W. McCall, Siddh...
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    ECCV
    2006
    Springer
    189views Computer Vision» more  ECCV 2006»
    Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
    16 years 8 months ago
    Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
    Download  www.iipl.fudan.edu.cn
    In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
    Tony Lin, Hongbin Zha, Sang Uk Lee
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