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    ERSA
    2006
    91views Hardware» more  ERSA 2006»
    Intrinsic Embedded Hardware Evolution of Block-based Neural Networks
    15 years 10 days ago
    Intrinsic Embedded Hardware Evolution of Block-based Neural Networks
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    - An intrinsic embedded online evolution system has been designed using Block-based neural networks and implemented on Xilinx VirtexIIPro FPGAs. The designed network can dynamicall...
    Saumil Merchant, Gregory D. Peterson, Seong Kong
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    ESANN
    2006
    118views Neural Networks» more  ESANN 2006»
    Semi-Blind Approaches for Source Separation and Independent component Analysis
    15 years 10 days ago
    Semi-Blind Approaches for Source Separation and Independent component Analysis
    Download  www.dice.ucl.ac.be
    Abstract. This paper is a survey of semi-blind source separation approaches. Since Gaussian iid signals are not separable, simplest priors suggest to assume non Gaussian iid signal...
    Massoud Babaie-Zadeh, Christian Jutten
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    ESANN
    2006
    170views Neural Networks» more  ESANN 2006»
    Discriminacy of the minimum range approach to blind separation of bounded sources
    15 years 10 days ago
    Discriminacy of the minimum range approach to blind separation of bounded sources
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    The Blind Source Separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical dependency between outputs. Since global maximization may be ...
    Dinh-Tuan Pham, Frédéric Vrins
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    ESANN
    2006
    85views Neural Networks» more  ESANN 2006»
    Synthesis of maximum margin and multiview learning using unlabeled data
    15 years 10 days ago
    Synthesis of maximum margin and multiview learning using unlabeled data
    Download  www.dice.ucl.ac.be
    In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
    Sándor Szedmák, John Shawe-Taylor
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    ESANN
    2006
    123views Neural Networks» more  ESANN 2006»
    Linking non-binned spike train kernels to several existing spike train metrics
    15 years 10 days ago
    Linking non-binned spike train kernels to several existing spike train metrics
    Download  www.dice.ucl.ac.be
    This work presents two kernels which can be applied to sets of spike times. This allows the use of state-of-the-art classification techniques to spike trains. The presented kernels...
    Benjamin Schrauwen, Jan M. Van Campenhout
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