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    ESANN
    2000
    143views Neural Networks» more  ESANN 2000»
    Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier
    14 years 24 days ago
    Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier
    Download  www.dice.ucl.ac.be
    In this paper we investigate the performance of a Computer Aided Diagnosis (CAD) system for the detection of clustered microcalcifications in mammograms. Our detection algorithm co...
    Armando Bazzani, Alessandro Bevilacqua, Dante Boll...
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    ESANN
    2000
    139views Neural Networks» more  ESANN 2000»
    Evaluating SOMs using order metrics
    14 years 24 days ago
    Evaluating SOMs using order metrics
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    It has been shown that self-organized maps, when adequately trained with the set of integers 1 to 32, lay out real numbers in a 2D map in an ordering that is superior to any of the...
    Arnulfo P. Azcarraga
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    ESANN
    2000
    83views Neural Networks» more  ESANN 2000»
    A neuro-fuzzy approach as medical diagnostic interface
    14 years 24 days ago
    A neuro-fuzzy approach as medical diagnostic interface
    Download  www.dice.ucl.ac.be
    Rüdiger W. Brause, F. Friedrich
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    ESANN
    2000
    152views Neural Networks» more  ESANN 2000»
    An algorithm for the addition of time-delayed connections to recurrent neural networks
    14 years 24 days ago
    An algorithm for the addition of time-delayed connections to recurrent neural networks
    Download  www.dice.ucl.ac.be
    : Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
    Romuald Boné, Michel Crucianu, Jean Pierre ...
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    ESANN
    2000
    402views Neural Networks» more  ESANN 2000»
    SpikeProp: backpropagation for networks of spiking neurons
    14 years 24 days ago
    SpikeProp: backpropagation for networks of spiking neurons
    Download  homepages.cwi.nl
    Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
    Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
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    ESANN
    2000
    151views Neural Networks» more  ESANN 2000»
    Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity
    14 years 24 days ago
    Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity
    Download  samos.univ-paris1.fr
    One of the attractive feature of Self-Organizing Maps (SOM) is the so-called "topological preservation property": observations that are close to each other in the input s...
    Eric de Bodt, Marie Cottrell
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    ESANN
    2000
    118views Neural Networks» more  ESANN 2000»
    Boundary based movement correction of functional MR data using a genetic algorithm
    14 years 24 days ago
    Boundary based movement correction of functional MR data using a genetic algorithm
    Download  www.dice.ucl.ac.be
    This paper describes a novel image registration method for movementcorrection of fMR time-series. It is important to align the fMR images in the time-series before time-dependent a...
    Guojun Bao, Jagath C. Rajapakse
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    ESANN
    2000
    120views Neural Networks» more  ESANN 2000»
    Nonsynaptically connected neural nets
    14 years 24 days ago
    Nonsynaptically connected neural nets
    Download  www.dice.ucl.ac.be
    Neural nets are generally considered to be connected synaptically. However, the majority of information transfer in the brain may not be by synapses. Nonsynaptic diffusion neurotra...
    Gaetano Liborio Aiello, Paul Bach-y-Rita
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    ESANN
    2000
    174views Neural Networks» more  ESANN 2000»
    Parametric approach to blind deconvolution of nonlinear channels
    14 years 24 days ago
    Parametric approach to blind deconvolution of nonlinear channels
    Download  www.dice.ucl.ac.be
    A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
    Jordi Solé i Casals, Anisse Taleb, Christia...
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    ESANN
    2000
    177views Neural Networks» more  ESANN 2000»
    Algorithmic approaches to training Support Vector Machines: a survey
    14 years 24 days ago
    Algorithmic approaches to training Support Vector Machines: a survey
    Download  www.iipl.fudan.edu.cn
    : Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
    Colin Campbell
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