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    NIPS
    2001
    102views Information Technology» more  NIPS 2001»
    Thin Junction Trees
    15 years 29 days ago
    Thin Junction Trees
    Download  books.nips.cc
    We present an algorithm that induces a class of models with thin junction trees--models that are characterized by an upper bound on the size of the maximal cliques of their triang...
    Francis R. Bach, Michael I. Jordan
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    JGAA
    2007
    135views more  JGAA 2007»
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    14 years 11 months ago
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    Download  www.emis.de
    Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
    Donatello Conte, Pasquale Foggia, Mario Vento
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    BMCBI
    2007
    115views more  BMCBI 2007»
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    14 years 11 months ago
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
    Stephen Winters-Hilt, Carl Baribault
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    CVPR
    2008
    IEEE
    207views Computer Vision» more  CVPR 2008»
    Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
    16 years 1 months ago
    Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
    Download  www.umiacs.umd.edu
    Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
    Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
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    LICS
    1991
    IEEE
    159views Automated Reasoning» more  LICS 1991»
    On the Deduction Rule and the Number of Proof Lines
    15 years 3 months ago
    On the Deduction Rule and the Number of Proof Lines
    Download  math.ucsd.edu
    d Abstract) Maria Luisa Bonet∗ Samuel R. Buss∗ Department of Mathematics Department of Mathematics U.C. Berkeley U.C. San Diego Berkeley, California 94720 La Jolla, California ...
    Maria Luisa Bonet, Samuel R. Buss
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