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    IJCAI
    2007
    154views Artificial Intelligence» more  IJCAI 2007»
    r-grams: Relational Grams
    13 years 9 months ago
    r-grams: Relational Grams
    Download  www.aaai.org
    We introduce relational grams (r-grams). They upgrade n-grams for modeling relational sequences of atoms. As n-grams, r-grams are based on smoothed n-th order Markov chains. Smoot...
    Niels Landwehr, Luc De Raedt
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    ALMOB
    2006
    80views more  ALMOB 2006»
    Pattern statistics on Markov chains and sensitivity to parameter estimation
    13 years 7 months ago
    Pattern statistics on Markov chains and sensitivity to parameter estimation
    Download  www.almob.org
    Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
    Grégory Nuel
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    BMCBI
    2004
    177views more  BMCBI 2004»
    Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
    13 years 7 months ago
    Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
    Download  www.biomedcentral.com
    Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
    Andrew F. Neuwald, Jun S. Liu
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    WACV
    2005
    IEEE
    162views Computer Vision» more  WACV 2005»
    Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
    14 years 1 months ago
    Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
    Download  iris.usc.edu
    This paper addresses the problem of tracking human body pose in monocular video including automatic pose initialization and re-initialization after tracking failures caused by par...
    Mun Wai Lee, Ramakant Nevatia
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    EMNLP
    2006
    190views Natural Language Processing» more  EMNLP 2006»
    A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
    13 years 9 months ago
    A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
    Download  research.microsoft.com
    Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
    Galen Andrew
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