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    JMLR
    2008
    151views more  JMLR 2008»
    Learning to Combine Motor Primitives Via Greedy Additive Regression
    14 years 9 months ago
    Learning to Combine Motor Primitives Via Greedy Additive Regression
    Download  www.bcs.rochester.edu
    The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
    Manu Chhabra, Robert A. Jacobs
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    MMS
    2008
    165views Information Technology» more  MMS 2008»
    Semantic interactive image retrieval combining visual and conceptual content description
    14 years 9 months ago
    Semantic interactive image retrieval combining visual and conceptual content description
    Download  www-rocq.inria.fr
    We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
    Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
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    NN
    2008
    Springer
    158views Neural Networks» more  NN 2008»
    Improved mapping of information distribution across the cortical surface with the support vector machine
    14 years 9 months ago
    Improved mapping of information distribution across the cortical surface with the support vector machine
    Download  camelot.mssm.edu
    The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
    Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
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    PAMI
    2006
    229views more  PAMI 2006»
    A Coherent Computational Approach to Model Bottom-Up Visual Attention
    14 years 9 months ago
    A Coherent Computational Approach to Model Bottom-Up Visual Attention
    Download  www.irisa.fr
    Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
    Olivier Le Meur, Patrick Le Callet, Dominique Barb...
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    IJON
    2007
    88views more  IJON 2007»
    Information maximization in face processing
    14 years 9 months ago
    Information maximization in face processing
    Download  mplab.ucsd.edu
    This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
    Marian Stewart Bartlett
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