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    ICPR
    2000
    IEEE
    152views computer vision» more  ICPR 2000»
    Feature Selection for Support Vector Machines
    16 years 3 months ago
    Feature Selection for Support Vector Machines
    Download  wwwmaths.anu.edu.au
    Lothar Hermes, Joachim M. Buhmann
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    ICIP
    2009
    IEEE
    155views Image Processing» more  ICIP 2009»
    Online Subjective Feature Selection For Occlusion Management In Tracking Applications
    16 years 3 months ago
    Online Subjective Feature Selection For Occlusion Management In Tracking Applications
    Download  www.samurai-eu.org
    Most of the state-of-the-art tracking algorithms are prone to error when dealing with occlusions, especially when the involved moving objects are hardly discernible in appearance....
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    110
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    ICML
    2009
    IEEE
    160views Machine Learning» more  ICML 2009»
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    16 years 3 months ago
    The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
    Download  www.research.rutgers.edu
    The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
    Carlos Diuk, Lihong Li, Bethany R. Leffler
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    ICML
    2008
    IEEE
    233views Machine Learning» more  ICML 2008»
    Bayesian multiple instance learning: automatic feature selection and inductive transfer
    16 years 3 months ago
    Bayesian multiple instance learning: automatic feature selection and inductive transfer
    Download  www.umiacs.umd.edu
    Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Mu...
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    96
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    ICML
    2002
    IEEE
    118views Machine Learning» more  ICML 2002»
    Discriminative Feature Selection via Multiclass Variable Memory Markov Model
    16 years 3 months ago
    Discriminative Feature Selection via Multiclass Variable Memory Markov Model
    Download  bejerano.stanford.edu
    Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tis...
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