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    CLOR
    2006
    153views Computer Vision» more  CLOR 2006»
    The Trace Model for Object Detection and Tracking
    14 years 28 days ago
    The Trace Model for Object Detection and Tracking
    Download  www.cis.jhu.edu
    We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
    Sachin Gangaputra, Donald Geman
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    ACCV
    1998
    Springer
    121views Computer Vision» more  ACCV 1998»
    Object Recognition by Matching Symbolic Edge Graphs
    14 years 1 months ago
    Object Recognition by Matching Symbolic Edge Graphs
    Download  www.neuroinformatik.ruhr-uni-bochum.de
    We present an object recognition system based on symbolic graphs with object corners as vertices and outlines as edges. Corners are determined in a robust way by a multiscale combi...
    Tino Lourens, Rolf P. Würtz
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    CVPR
    2010
    IEEE
    541views Computer Vision» more  CVPR 2010»
    Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
    14 years 5 months ago
    Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
    Download  vision.stanford.edu
    Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
    Bangpeng Yao, Li Fei-Fei
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    CVPR
    2007
    IEEE
    148views Computer Vision» more  CVPR 2007»
    Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
    14 years 11 months ago
    Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
    Download  www.mobvis.org
    This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
    Sanja Fidler, Ales Leonardis
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    AUSAI
    2008
    Springer
    185views Artificial Intelligence» more  AUSAI 2008»
    Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
    13 years 11 months ago
    Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
    Download  www98.griffith.edu.au
    In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
    John Thornton, Jolon Faichney, Michael Blumenstein...
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