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    CLEF
    2009
    Springer
    191views Information Technology» more  CLEF 2009»
    The University of Amsterdam's Concept Detection System at ImageCLEF 2009
    13 years 5 months ago
    The University of Amsterdam's Concept Detection System at ImageCLEF 2009
    Download  www.clef-campaign.org
    Our group within the University of Amsterdam participated in the large-scale visual concept detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of...
    Koen E. A. van de Sande, Theo Gevers, Arnold W. M....
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    TIP
    2008
    287views more  TIP 2008»
    3-D Object Recognition Using 2-D Views
    13 years 7 months ago
    3-D Object Recognition Using 2-D Views
    Download  www.cse.unr.edu
    We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
    Wenjing Li, George Bebis, Nikolaos G. Bourbakis
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    PAMI
    2006
    229views more  PAMI 2006»
    A Coherent Computational Approach to Model Bottom-Up Visual Attention
    13 years 7 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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    UMUAI
    2008
    192views more  UMUAI 2008»
    Automatic detection of learner's affect from conversational cues
    13 years 7 months ago
    Automatic detection of learner's affect from conversational cues
    Download  www.autotutor.org
    We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
    Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
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    BMVC
    2010
    181views Computer Vision» more  BMVC 2010»
    Local Gaussian Processes for Pose Recognition from Noisy Inputs
    13 years 5 months ago
    Local Gaussian Processes for Pose Recognition from Noisy Inputs
    Download  www.cs.man.ac.uk
    Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
    Martin Fergie, Aphrodite Galata
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