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    ESANN
    2006
    130views Neural Networks» more  ESANN 2006»
    Cluster detection algorithm in neural networks
    13 years 9 months ago
    Cluster detection algorithm in neural networks
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    Complex networks have received much attention in the last few years, and reveal global properties of interacting systems in domains like biology, social sciences and technology. O...
    David Meunier, Hélène Paugam-Moisy
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    ESANN
    2006
    114views Neural Networks» more  ESANN 2006»
    An algorithm for fast and reliable ESOM learning
    13 years 9 months ago
    An algorithm for fast and reliable ESOM learning
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    The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
    Mario Nöcker, Fabian Mörchen, Alfred Ult...
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    ESANN
    2006
    186views Neural Networks» more  ESANN 2006»
    Bayesian source separation: beyond PCA and ICA
    13 years 9 months ago
    Bayesian source separation: beyond PCA and ICA
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    Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
    Ali Mohammad-Djafari
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    ESANN
    2006
    121views Neural Networks» more  ESANN 2006»
    Learning and discrimination through STDP in a top-down modulated associative memory
    13 years 9 months ago
    Learning and discrimination through STDP in a top-down modulated associative memory
    Download  www.dice.ucl.ac.be
    Abstract. This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuro...
    Anthony Mouraud, Hélène Paugam-Moisy
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    ESANN
    2006
    99views Neural Networks» more  ESANN 2006»
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    13 years 9 months ago
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    Download  www.dice.ucl.ac.be
    We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
    Jochen J. Steil, Risto Koiva, Alessandro Sperduti
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