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    TNN
    2010
    182views Management» more  TNN 2010»
    A contrast function for independent component analysis without permutation ambiguity
    13 years 2 months ago
    A contrast function for independent component analysis without permutation ambiguity
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    Vicente Zarzoso, Pierre Comon, Ronald Phlypo
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    BIOSTEC
    2011
    219views Healthcare» more  BIOSTEC 2011»
    ECG Artifact Removal from Surface EMG Signals by Combining Empirical Mode Decomposition and Independent Component Analysis
    12 years 7 months ago
    ECG Artifact Removal from Surface EMG Signals by Combining Empirical Mode Decomposition and Independent Component Analysis
    Download  tcts.fpms.ac.be
    Joachim Taelman, Bogdan Mijovic, Sabine Van Huffel...
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    ICA
    2004
    Springer
    110views Signal Processing» more  ICA 2004»
    Independent Slow Feature Analysis and Nonlinear Blind Source Separation
    14 years 26 days ago
    Independent Slow Feature Analysis and Nonlinear Blind Source Separation
    Download  userpage.fu-berlin.de
    We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
    Tobias Blaschke, Laurenz Wiskott
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    ICIP
    2009
    IEEE
    159views Image Processing» more  ICIP 2009»
    An attention model for extracting components that merit identification
    13 years 5 months ago
    An attention model for extracting components that merit identification
    Download  www.ipb.uni-bonn.de
    Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
    Mohammad Jahangiri, Maria Petrou
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    IGARSS
    2009
    175views Remote Sensing» more  IGARSS 2009»
    Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile
    13 years 5 months ago
    Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile
    Download  mistis.inrialpes.fr
    Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
    Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benedi...
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