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    » A Histogram-Based Method for Detection of Faces and Cars
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    ICIP
    2000
    IEEE
    102views Image Processing» more  ICIP 2000»
    A Histogram-Based Method for Detection of Faces and Cars
    14 years 6 months ago
    A Histogram-Based Method for Detection of Faces and Cars
    Download  www.ri.cmu.edu
    Henry Schneiderman, Takeo Kanade
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    CVPR
    2000
    IEEE
    255views Computer Vision» more  CVPR 2000»
    A Statistical Method for 3D Object Detection Applied to Faces and Cars
    14 years 6 months ago
    A Statistical Method for 3D Object Detection Applied to Faces and Cars
    Download  www.cs.cmu.edu
    Henry Schneiderman, Takeo Kanade
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    PAMI
    2012
    189views Software Engineering» more  PAMI 2012»
    Learning Optimal Embedded Cascades
    11 years 7 months ago
    Learning Optimal Embedded Cascades
    Download  svcl.ucsd.edu
    —The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
    Mohammad Javad Saberian, Nuno Vasconcelos
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    ICCV
    2009
    IEEE
    401views Computer Vision» more  ICCV 2009»
    Evaluating Information Contributions of Bottom-up and Top-down Processes
    14 years 10 months ago
    Evaluating Information Contributions of Bottom-up and Top-down Processes
    Download  www.stat.ucla.edu
    This paper presents a method to quantitatively evaluate information contributions of individual bottom-up and topdown computing processes in object recognition. Our objective is...
    Xiong Yang, Tianfu Wu, Song-Chun Zhu
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    IJCV
    2007
    196views more  IJCV 2007»
    Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
    13 years 4 months ago
    Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
    Download  people.csail.mit.edu
    We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
    Robert Fergus, Pietro Perona, Andrew Zisserman
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