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    ICASSP
    2010
    IEEE
    179views Signal Processing» more  ICASSP 2010»
    Analysis of phone posterior feature space exploiting class-specific sparsity and MLP-based similarity measure
    14 years 10 months ago
    Analysis of phone posterior feature space exploiting class-specific sparsity and MLP-based similarity measure
    Download  tcts.fpms.ac.be
    Class posterior distributions have recently been used quite successfully in Automatic Speech Recognition (ASR), either for frame or phone level classification or as acoustic featu...
    Afsaneh Asaei, Benjamin Picart, Hervé Bourl...
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    CSDA
    2008
    65views more  CSDA 2008»
    On the number of principal components: A test of dimensionality based on measurements of similarity between matrices
    14 years 10 months ago
    On the number of principal components: A test of dimensionality based on measurements of similarity between matrices
    Download  pbil.univ-lyon1.fr
    An important problem in principal component analysis (PCA) is the estimation of the correct number of components to retain. PCA is most often used to reduce a set of observed vari...
    Stéphane Dray
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    COMJ
    2006
    80views more  COMJ 2006»
    Algorithms for Computing Geometric Measures of Melodic Similarity
    14 years 10 months ago
    Algorithms for Computing Geometric Measures of Melodic Similarity
    Download  cgm.cs.mcgill.ca
    Greg Aloupis, Thomas Fevens, Stefan Langerman, Tom...
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    IJIS
    2008
    66views more  IJIS 2008»
    On similarity measures between intuitionistic fuzzy sets
    14 years 10 months ago
    On similarity measures between intuitionistic fuzzy sets
    Download  www2.math.cycu.edu.tw
    Wen-Liang Hung, Miin-Shen Yang
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    COMPSEC
    2007
    69views more  COMPSEC 2007»
    Intrusion detection using text processing techniques with a kernel based similarity measure
    14 years 10 months ago
    Intrusion detection using text processing techniques with a kernel based similarity measure
    Download  maxwell.me.gu.edu.au
    Alok Sharma, Arun K. Pujari, Kuldip K. Paliwal
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