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    IJCV
    2006
    161views more  IJCV 2006»
    Discriminative Random Fields
    13 years 11 months ago
    Discriminative Random Fields
    Download  www.cs.cmu.edu
    In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
    Sanjiv Kumar, Martial Hebert
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    CONCURRENCY
    2007
    118views more  CONCURRENCY 2007»
    Design and implementation issues for distributed CCA framework interoperability
    13 years 11 months ago
    Design and implementation issues for distributed CCA framework interoperability
    Download  grid.cs.binghamton.edu
    Component frameworks, including those that support the Common Component Architecture (CCA), represent a promising approach to addressing this challenge, one that is being realized...
    Madhusudhan Govindaraju, Michael J. Lewis, Kenneth...
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    IVC
    2006
    227views more  IVC 2006»
    Automatic registration of overlapping 3D point clouds using closest points
    13 years 11 months ago
    Automatic registration of overlapping 3D point clouds using closest points
    Download  users.aber.ac.uk
    While the SoftAssign algorithm imposes a two-way constraint embedded into the deterministic annealing scheme and the EMICP algorithm imposes a one-way constraint, they represent t...
    Yonghuai Liu
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    JVCIR
    2006
    127views more  JVCIR 2006»
    Automatic liver segmentation for volume measurement in CT Images
    13 years 11 months ago
    Automatic liver segmentation for volume measurement in CT Images
    Download  perso.telecom-paristech.fr
    Computed tomography (CT) images have been widely used for diagnosis of liver disease and volume measurement for liver surgery or transplantation. Automatic liver segmentation and ...
    Seong-Jae Lim, Yong-Yeon Jeong, Yo-Sung Ho
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    PAMI
    2008
    161views more  PAMI 2008»
    TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
    13 years 10 months ago
    TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
    Download  people.ece.cornell.edu
    The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
    Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
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