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    ESANN
    2007
    110views Neural Networks» more  ESANN 2007»
    Functional elements and networks in fMRI
    13 years 9 months ago
    Functional elements and networks in fMRI
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    Abstract. We propose a two-step approach for the analysis of functional magnetic resonance images, in the context of natural stimuli. In the first step, elements of functional bra...
    Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vig&a...
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    ESANN
    2007
    96views Neural Networks» more  ESANN 2007»
    Informational cost in correlation-based neuronal networks
    13 years 9 months ago
    Informational cost in correlation-based neuronal networks
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    The cost of maintaining a given level of activity in a neuronal network depends on its size and degree of connectivity. Should a neural function require large-size fully-connected ...
    Gaetano Liborio Aiello, Carlo Casarino
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    ESANN
    2007
    170views Neural Networks» more  ESANN 2007»
    Feature clustering and mutual information for the selection of variables in spectral data
    13 years 9 months ago
    Feature clustering and mutual information for the selection of variables in spectral data
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    Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
    Catherine Krier, Damien François, Fabrice R...
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    ESANN
    2007
    96views Neural Networks» more  ESANN 2007»
    A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning
    13 years 9 months ago
    A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning
    Download  www.dice.ucl.ac.be
    Abstract. Canonical Correlation Analysis(CCA) is a useful tool to discover relationship between different sources of information represented by vectors. The solution of the underl...
    Sándor Szedmák, Tijl De Bie, David R...
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    ESANN
    2006
    182views Neural Networks» more  ESANN 2006»
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    13 years 9 months ago
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    Download  www.see.ed.ac.uk
    A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
    Tong Boon Tang, Alan F. Murray
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