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    ESANN
    2003
    99views Neural Networks» more  ESANN 2003»
    Associative morphological memories for spectral unmixing
    14 years 2 months ago
    Associative morphological memories for spectral unmixing
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    Manuel Graña, Josune Gallego
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    ESANN
    2003
    152views Neural Networks» more  ESANN 2003»
    Improving iterative repair strategies for scheduling with the SVM
    14 years 2 months ago
    Improving iterative repair strategies for scheduling with the SVM
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    The resource constraint project scheduling problem (RCPSP) is an NP-hard benchmark problem in scheduling which takes into account the limitation of resources’ availabilities in ...
    Kai Gersmann, Barbara Hammer
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    ESANN
    2003
    151views Neural Networks» more  ESANN 2003»
    Accelerating the convergence speed of neural networks learning methods using least squares
    14 years 2 months ago
    Accelerating the convergence speed of neural networks learning methods using least squares
    Download  www.dice.ucl.ac.be
    In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...
    Oscar Fontenla-Romero, Deniz Erdogmus, José...
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    ESANN
    2003
    108views Neural Networks» more  ESANN 2003»
    Analyzing surveys using the Kohonen algorithm
    14 years 2 months ago
    Analyzing surveys using the Kohonen algorithm
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    Marie Cottrell, Patrick Letrémy
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    ESANN
    2003
    395views Neural Networks» more  ESANN 2003»
    Ensemble of hybrid networks with strong regularization
    14 years 2 months ago
    Ensemble of hybrid networks with strong regularization
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    Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
    Shimon Cohen, Nathan Intrator
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    ESANN
    2003
    148views Neural Networks» more  ESANN 2003»
    Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
    14 years 2 months ago
    Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
    Download  theoval.cmp.uea.ac.uk
    In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
    Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Fo...
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    ESANN
    2003
    113views Neural Networks» more  ESANN 2003»
    Neural Network Performances in Astronomical Image Processing
    14 years 2 months ago
    Neural Network Performances in Astronomical Image Processing
    Download  www.dice.ucl.ac.be
    In this paper we use neural networks to verify the similarity of real astronomical images to predefined reference profiles. We use an innovative technique to encode images that a...
    Rossella Cancelliere, Mario Gai
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    ESANN
    2003
    66views Neural Networks» more  ESANN 2003»
    Meter value recognition using locally connected hierarchical networks
    14 years 2 months ago
    Meter value recognition using locally connected hierarchical networks
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    This paper describes a two-stage system for the recognition ge meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained in a sup...
    Sven Behnke
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    ESANN
    2003
    142views Neural Networks» more  ESANN 2003»
    Comparison of neural algorithms for blind source separation in sensor array applications
    14 years 2 months ago
    Comparison of neural algorithms for blind source separation in sensor array applications
    Download  www.dice.ucl.ac.be
    - A test bed of experiments with real and artificially generated data has been designed to compare the performance of three well-known algorithms for BSS. The main goal of these ex...
    Guillermo Bedoya, Sergio Bermejo, Joan Cabestany
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    ESANN
    2003
    112views Neural Networks» more  ESANN 2003»
    VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications
    14 years 2 months ago
    VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications
    Download  lsmwww.epfl.ch
    This paper presents the hardware realization of a Hamming artificial neural network, and demonstrates its use in a high-speed precision alignment system. High degree of parallelism...
    Stéphane Badel, Alexandre Schmid, Yusuf Leb...
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