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    ML
    2010
    ACM
    91views Machine Learning» more  ML 2010»
    Temporal kernel CCA and its application in multimodal neuronal data analysis
    14 years 8 months ago
    Temporal kernel CCA and its application in multimodal neuronal data analysis
    Download  www.cs.cmu.edu
    Felix Bießmann, Frank C. Meinecke, Arthur Gr...
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    TNN
    2010
    149views Management» more  TNN 2010»
    A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
    14 years 4 months ago
    A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
    Download  research.microsoft.com
    Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
    Wenming Zheng, Zhouchen Lin, Xiaoou Tang
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    IJON
    2007
    166views more  IJON 2007»
    Kernel PCA for similarity invariant shape recognition
    14 years 9 months ago
    Kernel PCA for similarity invariant shape recognition
    Download  mi.eng.cam.ac.uk
    We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
    Hichem Sahbi
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    QEST
    2010
    IEEE
    118views Modeling and Simulation» more  QEST 2010»
    Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
    14 years 7 months ago
    Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
    Download  www.dsi.unifi.it
    The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
    András Horváth, Lorenzo Ridi, Enrico...
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    ICPR
    2008
    IEEE
    195views Computer Vision» more  ICPR 2008»
    Kernel Bisecting k-means clustering for SVM training sample reduction
    15 years 4 months ago
    Kernel Bisecting k-means clustering for SVM training sample reduction
    Download  figment.cse.usf.edu
    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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