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    ESANN
    2004
    122views Neural Networks» more  ESANN 2004»
    A biologically plausible neuromorphic system for object recognition and depth analysis
    14 years 8 days ago
    A biologically plausible neuromorphic system for object recognition and depth analysis
    Download  www.dice.ucl.ac.be
    Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
    Zhijun Yang, Alan F. Murray
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    ESANN
    2004
    99views Neural Networks» more  ESANN 2004»
    Novel approximations for inference and learning in nonlinear dynamical systems
    14 years 8 days ago
    Novel approximations for inference and learning in nonlinear dynamical systems
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    Alexander Ypma, Tom Heskes
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    ESANN
    2004
    93views Neural Networks» more  ESANN 2004»
    Using classification to determine the number of finger strokes on a multi-touch tactile device
    14 years 8 days ago
    Using classification to determine the number of finger strokes on a multi-touch tactile device
    Download  www.dice.ucl.ac.be
    On certain types of multi-touch touchpads, determining the number of finger stroke is a non-trivial problem. We investigate the application of several classification algorithms to ...
    Caspar von Wrede, Pavel Laskov
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    ESANN
    2004
    110views Neural Networks» more  ESANN 2004»
    Evolutionary Optimization of Neural Networks for Face Detection
    14 years 8 days ago
    Evolutionary Optimization of Neural Networks for Face Detection
    Download  www.neuroinformatik.ruhr-uni-bochum.de
    For face recognition from video streams speed and accuracy are vital aspects. The first decision whether a preprocessed image region represents a human face or not is often made by...
    Stefan Wiegand, Christian Igel, Uwe Handmann
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    ESANN
    2004
    84views Neural Networks» more  ESANN 2004»
    Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
    14 years 8 days ago
    Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
    Download  www.dice.ucl.ac.be
    Abstract. In most ICA algorithms, the separation performances are estimated through the evaluation of a contrast function , used in the update rule of elements of the unmixing matr...
    Frédéric Vrins, Cédric Archam...
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    ESANN
    2004
    97views Neural Networks» more  ESANN 2004»
    Reducing connectivity by using cortical modular bands
    14 years 8 days ago
    Reducing connectivity by using cortical modular bands
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    The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
    Julien Vitay, Nicolas P. Rougier, Fréd&eacu...
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    ESANN
    2004
    107views Neural Networks» more  ESANN 2004»
    Theory and applications of neural maps
    14 years 8 days ago
    Theory and applications of neural maps
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    In this tutorial paper about neural maps we review the current state in theoretical aspects like mathematical treatment of convergence, ordering and topography, magnification and o...
    Thomas Villmann, Udo Seiffert, Axel Wismüller
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    ESANN
    2004
    169views Neural Networks» more  ESANN 2004»
    Comparison of different classification methods on castabilty data coming from steelmaking practice
    14 years 8 days ago
    Comparison of different classification methods on castabilty data coming from steelmaking practice
    Download  www.dice.ucl.ac.be
    Abstract. The problem of the prediction of a critical situation during continuous casting in common steelmaking practice is faced through different traditional soft
    Marco Vannucci, Valentina Colla
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    ESANN
    2004
    140views Neural Networks» more  ESANN 2004»
    Linearization identification and an application to BSS using a SOM
    14 years 8 days ago
    Linearization identification and an application to BSS using a SOM
    Download  www.dice.ucl.ac.be
    The one-dimensional functional equation g(y(t)) = cg(z(t)) with known functions y and z and constant c is considered. The indeterminacies are calculated, and an algorithm for appro...
    Fabian J. Theis, Elmar Wolfgang Lang
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    ESANN
    2004
    97views Neural Networks» more  ESANN 2004»
    Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
    14 years 8 days ago
    Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
    Download  www.biologie.uni-regensburg.de
    We propose an algorithm for recovering the matrix A in X = AS where X is a random vector of lower dimension than S. S is assumed to be sparse in the sense that S has less nonzero e...
    Fabian J. Theis, Pando G. Georgiev, Andrzej Cichoc...
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