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    » Discriminative Direction for Kernel Classifiers
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    CSL
    2010
    Springer
    120views Automated Reasoning» more  CSL 2010»
    Discriminative classifiers with adaptive kernels for noise robust speech recognition
    13 years 5 months ago
    Discriminative classifiers with adaptive kernels for noise robust speech recognition
    Download  mi.eng.cam.ac.uk
    M. J. F. Gales, Federico Flego
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    ECCV
    2006
    Springer
    156views Computer Vision» more  ECCV 2006»
    Melanoma Recognition Using Representative and Discriminative Kernel Classifiers
    13 years 7 months ago
    Melanoma Recognition Using Representative and Discriminative Kernel Classifiers
    Download  www.idiap.ch
    Tatiana Tommasi, Elisabetta La Torre, Barbara Capu...
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    CVPR
    2009
    IEEE
    352views Computer Vision» more  CVPR 2009»
    Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
    15 years 11 days ago
    Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
    Download  www.kyb.mpg.de
    Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
    Peter V. Gehler, Sebastian Nowozin
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    KDD
    2010
    ACM
    235views Data Mining» more  KDD 2010»
    Direct mining of discriminative patterns for classifying uncertain data
    13 years 9 months ago
    Direct mining of discriminative patterns for classifying uncertain data
    Download  dbgroup.cs.tsinghua.edu.cn
    Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
    Chuancong Gao, Jianyong Wang
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    IJCAI
    2007
    166views Artificial Intelligence» more  IJCAI 2007»
    Parametric Kernels for Sequence Data Analysis
    13 years 6 months ago
    Parametric Kernels for Sequence Data Analysis
    Download  www.ijcai.org
    A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
    Young-In Shin, Donald S. Fussell
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