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    OWLED
    2008
    142views Natural Language Processing» more  OWLED 2008»
    Opening, Closing Worlds - On Integrity Constraints
    13 years 11 months ago
    Opening, Closing Worlds - On Integrity Constraints
    Download  www.webont.org
    In many data-centric applications it is desirable to use OWL as an expressive schema language where one expresses constraints that need to be satisfied by the (instance) data. Howe...
    Evren Sirin, Michael Smith, Evan Wallace
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    TCS
    2008
    98views Theoretical Computer Science» more  TCS 2008»
    On temporal logic constraint solving for analyzing numerical data time series
    13 years 10 months ago
    On temporal logic constraint solving for analyzing numerical data time series
    Download  pauillac.inria.fr
    Temporal logics and model-checking have proved successful to respectively express biological properties of complex biochemical systems, and automatically verify their satisfaction...
    François Fages, Aurélien Rizk
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    CVPR
    2012
    IEEE
    248views Computer Vision» more  CVPR 2012»
    Multiclass pixel labeling with non-local matching constraints
    12 years 21 days ago
    Multiclass pixel labeling with non-local matching constraints
    Download  users.cecs.anu.edu.au
    A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...
    Stephen Gould
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    CVPR
    2005
    IEEE
    269views Computer Vision» more  CVPR 2005»
    Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
    15 years 8 days ago
    Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
    Download  www.seas.upenn.edu
    We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
    Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
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    ACL
    2012
    230views Computational Linguistics» more  ACL 2012»
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    12 years 20 days 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 ...
    Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
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