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    ESANN
    2008
    117views Neural Networks» more  ESANN 2008»
    Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression
    14 years 16 days ago
    Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression
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    Caroline Bernard-Michel, Sylvain Douté, Lau...
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    ESANN
    1997
    107views Neural Networks» more  ESANN 1997»
    Neuronal theories and technical systems for face recognition
    14 years 23 days ago
    Neuronal theories and technical systems for face recognition
    Download  www.neuroinformatik.ruhr-uni-bochum.de
    I present various systems for the recognition of human faces. They consist of three steps: feature extraction, solving the correspondence problem, and the actual comparison with st...
    Rolf P. Würtz
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    ESANN
    1997
    121views Neural Networks» more  ESANN 1997»
    Extraction of crisp logical rules using constrained backpropagation networks
    14 years 23 days ago
    Extraction of crisp logical rules using constrained backpropagation networks
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    Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
    Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
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    ESANN
    1997
    104views Neural Networks» more  ESANN 1997»
    A fuzzy Artmap neural system for the prediction of turbulent velocity fields
    14 years 23 days ago
    A fuzzy Artmap neural system for the prediction of turbulent velocity fields
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    Joan Ferré-Giné, Robert Rallo, Alex ...
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    ESANN
    1997
    103views Neural Networks» more  ESANN 1997»
    Neural network cooperation for handwritten digit recognition: a comparison of four methods
    14 years 23 days ago
    Neural network cooperation for handwritten digit recognition: a comparison of four methods
    Download  www.dice.ucl.ac.be
    In this paper we focus on "off-line digit recognition" with anknown scriptor. After presenting two neural recognisers, we evaluate four solutions to combine results obta...
    Yvon Autret, Andre Thepaut
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    ESANN
    1997
    108views Neural Networks» more  ESANN 1997»
    Connectionist rule processing using recursive auto-associative memory
    14 years 23 days ago
    Connectionist rule processing using recursive auto-associative memory
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    Michael St Aubyn
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    ESANN
    1997
    112views Neural Networks» more  ESANN 1997»
    Kohonen maps versus vector quantization for data analysis
    14 years 23 days ago
    Kohonen maps versus vector quantization for data analysis
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    Besides their topological properties, Kohonen maps are often used for vector quantization only. These auto-organised networks are often compared to other standard and/or adaptive v...
    Eric de Bodt, Michel Verleysen, Marie Cottrell
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    ESANN
    2000
    125views Neural Networks» more  ESANN 2000»
    A neural network approach to adaptive pattern analysis - the deformable feature map
    14 years 24 days ago
    A neural network approach to adaptive pattern analysis - the deformable feature map
    Download  www.dice.ucl.ac.be
    Abstract. In this paper, we presen t an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach...
    Axel Wismüller, Frank Vietze, Dominik R. Ders...
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    ESANN
    2000
    175views Neural Networks» more  ESANN 2000»
    Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
    14 years 24 days ago
    Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
    Download  www.dice.ucl.ac.be
    The basic SOM is indi erent to the ordering of the input patterns. Real data, however, is often sequential in nature thus context of a pattern may signi cantly in uence its correc...
    Markus Varsta, Jukka Heikkonen, Jouko Lampinen
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    ESANN
    2000
    95views Neural Networks» more  ESANN 2000»
    Local input-output stability of recurrent networks with time-varying weights
    14 years 24 days ago
    Local input-output stability of recurrent networks with time-varying weights
    Download  www.dice.ucl.ac.be
    Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
    Jochen J. Steil
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