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    IJCV
    2007
    196views more  IJCV 2007»
    Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
    13 years 7 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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    SOFTVIS
    2005
    ACM
    107views Visualization» more  SOFTVIS 2005»
    Jove: java as it happens
    14 years 29 days ago
    Jove: java as it happens
    Download  www.cs.brown.edu
    Dynamic software visualization is designed to provide programmers with insights as to what the program is doing. Most current dynamic visualizations either use program traces to s...
    Steven P. Reiss, Manos Renieris
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    TCSV
    2011
    435views Theoretical Computer Science» more  TCSV 2011»
    Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
    13 years 2 months ago
    Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
    Download  grid.hust.edu.cn
    —We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
    Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...
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    ICPR
    2002
    IEEE
    176views computer vision» more  ICPR 2002»
    Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
    14 years 8 months ago
    Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
    Download  www.cc.gatech.edu
    Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
    Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
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    NECO
    2007
    127views more  NECO 2007»
    Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
    13 years 6 months ago
    Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
    Download  dsp.ucsd.edu
    We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
    Joseph F. Murray, Kenneth Kreutz-Delgado
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