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    ICML
    2006
    IEEE
    188views Machine Learning» more  ICML 2006»
    Totally corrective boosting algorithms that maximize the margin
    14 years 8 months ago
    Totally corrective boosting algorithms that maximize the margin
    Download  www.soe.ucsc.edu
    We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
    Gunnar Rätsch, Jun Liao, Manfred K. Warmuth
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    CVPR
    2009
    IEEE
    606views Computer Vision» more  CVPR 2009»
    Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
    15 years 3 months ago
    Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
    Download  www.cc.gatech.edu
    This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
    Richard Roberts (Georgia Institute of Technology),...
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    RECOMB
    2005
    Springer
    183views Computational Biology» more  RECOMB 2005»
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
    14 years 8 months ago
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
    Download  www.cs.huji.ac.il
    Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
    Chen Yanover, Tomer Hertz
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    BMCBI
    2006
    111views more  BMCBI 2006»
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    13 years 7 months ago
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    Download  www.biomedcentral.com
    Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
    Tomer Hertz, Chen Yanover
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    IVC
    2007
    176views more  IVC 2007»
    Kernel-based distance metric learning for content-based image retrieval
    13 years 7 months ago
    Kernel-based distance metric learning for content-based image retrieval
    Download  www.jdl.ac.cn
    ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
    Hong Chang, Dit-Yan Yeung
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