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    CVPR
    2007
    IEEE
    207views Computer Vision» more  CVPR 2007»
    Learning Motion Categories using both Semantic and Structural Information
    14 years 9 months ago
    Learning Motion Categories using both Semantic and Structural Information
    Download  svr-www.eng.cam.ac.uk
    Current approaches to motion category recognition typically focus on either full spatiotemporal volume analysis (holistic approach) or analysis of the content of spatiotemporal in...
    Shu-Fai Wong, Tae-Kyun Kim, Roberto Cipolla
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    ICCV
    2009
    IEEE
    584views Computer Vision» more  ICCV 2009»
    Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
    15 years 11 days ago
    Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
    Download  cs.stanford.edu
    Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
    Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
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    ACL
    1996
    101views Computational Linguistics» more  ACL 1996»
    Unsupervised Learning of Word-Category Guessing Rules
    13 years 8 months ago
    Unsupervised Learning of Word-Category Guessing Rules
    Download  www.aclweb.org
    Words unknown to the lexicon present a substantial problem to part-of-speech tagging. In this paper we present a technique for fully unsupervised statistical acquisition of rules ...
    Andrei Mikheev
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    ESANN
    2003
    85views Neural Networks» more  ESANN 2003»
    Developmental pruning of synapses and category learning
    13 years 8 months ago
    Developmental pruning of synapses and category learning
    Download  www.dice.ucl.ac.be
    After an initial peak, the number of synapses in mammalian cerebral cortex decreases in the formative period and throughout adult life. However, if synapses are taken to reflect ci...
    Roberto Viviani, Manfred Spitzer
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    ICCV
    2007
    IEEE
    208views Computer Vision» more  ICCV 2007»
    Learning the Taxonomy and Models of Categories Present in Arbitrary Images
    14 years 9 months ago
    Learning the Taxonomy and Models of Categories Present in Arbitrary Images
    Download  vision.ai.uiuc.edu
    Narendra Ahuja, Sinisa Todorovic
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