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    ESANN
    2007
    127views Neural Networks» more  ESANN 2007»
    Markovian blind separation of non-stationary temporally correlated sources
    13 years 9 months ago
    Markovian blind separation of non-stationary temporally correlated sources
    Download  www.dice.ucl.ac.be
    In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
    Rima Guidara, Shahram Hosseini, Yannick Deville
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    ESANN
    2007
    114views Neural Networks» more  ESANN 2007»
    Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
    13 years 9 months ago
    Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
    Download  hal-supelec.archives-ouvertes.fr
    In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
    Georges Adrian Drumea, Hervé Frezza-Buet
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    ESANN
    2007
    104views Neural Networks» more  ESANN 2007»
    Self-organized chains for clustering
    13 years 9 months ago
    Self-organized chains for clustering
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    This paper presents a new algorithm for clustering. It is an generalisation of the K-means algorithms . Each cluster will be represented by a chain of prototypes instead of being r...
    Hassan Ghaziri
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    ESANN
    2007
    113views Neural Networks» more  ESANN 2007»
    Kernel-based online machine learning and support vector reduction
    13 years 9 months ago
    Kernel-based online machine learning and support vector reduction
    Download  www.physics.ox.ac.uk
    We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
    Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
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    ESANN
    2007
    121views Neural Networks» more  ESANN 2007»
    SOM for intensity inhomogeneity correction in MRI
    13 years 9 months ago
    SOM for intensity inhomogeneity correction in MRI
    Download  www.dice.ucl.ac.be
    Abstract. Given an appropriate imaging resolution, a common Magnetic Resonance Imaging (MRI) model assumes that object under study is composed of piecewise constant materials, so t...
    Maite García-Sebastián, Manuel Gra&n...
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