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    ESANN
    2007
    115views Neural Networks» more  ESANN 2007»
    Ensemble neural classifier design for face recognition
    13 years 9 months ago
    Ensemble neural classifier design for face recognition
    Download  www.ee.surrey.ac.uk
    A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...
    Terry Windeatt
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    ESANN
    2007
    123views Neural Networks» more  ESANN 2007»
    Clustering a medieval social network by SOM using a kernel based distance measure
    13 years 9 months ago
    Clustering a medieval social network by SOM using a kernel based distance measure
    Download  nathalie.vialaneix.free.fr
    Abstract. In order to explore the social organization of a medieval peasant community before the Hundred Years’ War, we propose the use of an adaptation of the well-known Kohonen...
    Nathalie Villa, Romain Boulet
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    ESANN
    2007
    84views Neural Networks» more  ESANN 2007»
    Human motion recognition using Nonlinear Transient Computation
    13 years 9 months ago
    Human motion recognition using Nonlinear Transient Computation
    Download  www.dice.ucl.ac.be
    A novel approach to human motion recognition is proposed that is based on a variation of the Nonlinear Transient Computation Machine (NTCM). The motion data used to train the NTCM ...
    Nigel Crook, Wee Jin Goh
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    ESANN
    2007
    136views Neural Networks» more  ESANN 2007»
    Complexity bounds of radial basis functions and multi-objective learning
    13 years 9 months ago
    Complexity bounds of radial basis functions and multi-objective learning
    Download  www.dice.ucl.ac.be
    In the paper, the problem of multi-objective (MOBJ) learning is discussed. The problem of obtaining apparent (effective) complexity measure, which is one of the objectives, is con...
    Illya Kokshenev, Antônio de Pádua Bra...
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    ESANN
    2007
    115views Neural Networks» more  ESANN 2007»
    Learning topology of a labeled data set with the supervised generative gaussian graph
    13 years 9 months ago
    Learning topology of a labeled data set with the supervised generative gaussian graph
    Download  www.dice.ucl.ac.be
    Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
    Pierre Gaillard, Michaël Aupetit, Géra...
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