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    ICPR
    2008
    IEEE
    195views Computer Vision» more  ICPR 2008»
    Kernel Bisecting k-means clustering for SVM training sample reduction
    14 years 5 months ago
    Kernel Bisecting k-means clustering for SVM training sample reduction
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    This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
    Xiao-Zhang Liu, Guo-Can Feng
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