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    CVPR
    2010
    IEEE
    316views Computer Vision» more  CVPR 2010»
    Adaptive pose priors for pictorial structures
    15 years 1 months ago
    Adaptive pose priors for pictorial structures
    Download  www.seas.upenn.edu
    Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
    Benjamin Sapp, Chris Jordan, Ben Taskar
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    ICCV
    2001
    IEEE
    136views Computer Vision» more  ICCV 2001»
    Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
    16 years 5 months ago
    Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation
    Download  www.cs.cmu.edu
    Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schö...
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    SDM
    2009
    SIAM
    127views Data Mining» more  SDM 2009»
    Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
    16 years 12 days ago
    Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
    Download  www.cs.toronto.edu
    Anthony J. Bonner, Martin Renqiang Min, Rui Kuang,...
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    BIBM
    2007
    IEEE
    135views Bioinformatics» more  BIBM 2007»
    Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
    15 years 9 months ago
    Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
    Download  www.ischool.drexel.edu
    Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
    Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
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    IJCNN
    2007
    IEEE
    119views Neural Networks» more  IJCNN 2007»
    Maximum Margin based Semi-supervised Spectral Kernel Learning
    15 years 9 months ago
    Maximum Margin based Semi-supervised Spectral Kernel Learning
    Download  www.cse.cuhk.edu.hk
    Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King
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