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Conferences in DBLP

(esann)
1999 (conf/esann/1999)

  1. Frank Pasemann
    Synchronizing chaotic neuromodules. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:1-6 [Conf]
  2. Emmanuel Daucé, Olivier Moynot, Olivier Pinaud, Manuel Samuelides, Bernard Doyon
    Mean-field equations reveal synchronization in a 2-populations neural network model. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:7-12 [Conf]
  3. Stefan Schünemann, Bernd Michaelis
    A hierarchical self-organizing feature map for analysis of not well separable clusters of different feature density. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:13-18 [Conf]
  4. Eric de Bodt, Marie Cottrell, Michel Verleysen
    Using the Kohonen algorithm for quick initialization of Simple Competitive Learning algorithm. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:19-26 [Conf]
  5. Marco Gori
    Learning in structured domains. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:27-32 [Conf]
  6. Barbara Hammer
    Approximation capabilities of folding networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:33-38 [Conf]
  7. Andreas Küchler
    Tree-recursive computation of gradient information for structures. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:39-44 [Conf]
  8. Christoph Goller
    Learning search-control heuristics for automated deduction systems with folding architecture networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:45-50 [Conf]
  9. Fabrizio Costa, Paolo Frasconi, Giovanni Soda
    A topological transformation for hidden recursive modelsarchitecture networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:51-56 [Conf]
  10. Mikel L. Forcada, Antonio M. Corbí-Bellot, Marco Gori, Marco Maggini
    Neural learning of approximate simple regular languages. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:57-62 [Conf]
  11. Markus Hagenbuchner, Ah Chung Tsoi
    A benchmark for testing adaptive systems on structured data. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:63-68 [Conf]
  12. Peter J. Edwards, Alan F. Murray, Georgios Papadopoulos, A. Robin Wallace, John Barnard
    The application of neural networks to the paper-making industry. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:69-74 [Conf]
  13. Juan Martínez-Cabeza-de-Vaca-Alajarín, Luis-Manuel Tomás-Balibrea
    Marble slabs quality classification system using texture recognition and neural networks methodology. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:75-80 [Conf]
  14. Andrea Corradini, Hans-Joachim Böhme, Horst-Michael Gross
    Visual-based posture recognition using hybrid neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:81-86 [Conf]
  15. Bart Bakker, Tom Heskes
    Model clustering by deterministic annealing. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:87-92 [Conf]
  16. Erzsébet Merényi
    The challenges in spectral image analysis: an introduction, and review of ANN approaches. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:93-98 [Conf]
  17. Neil Pendock
    A simple associative neural network for producing spatially homogenous spectral abundance interpretations of hyperspectral imagery. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:99-104 [Conf]
  18. Jörg Bruske, Erzsébet Merényi
    Estimating the intrinsic dimensionality of hyperspectral images. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:105-110 [Conf]
  19. Thomas Villmann
    Benefits and limits of the self-organizing map and its variants in the area of satellite remote sensoring processing. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:111-116 [Conf]
  20. Donald MacDonald, Stephen McGlinchey, John Kawala, Colin Fyfe
    Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:117-122 [Conf]
  21. Terry Windeatt, Reza Ghaderi
    AdaBoost and neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:123-128 [Conf]
  22. Francesca Acerra, Yves Burnod, Scania de Schonen
    Modeling face recognition learning in early infant development. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:129-134 [Conf]
  23. John Carney, Padraig Cunningham
    The NeuralBAG algorithm: optimizing generalization performance in bagged neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:135-140 [Conf]
  24. Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
    Neuro-wavelet parametric characterization of hardness profiles. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:141-146 [Conf]
  25. Shin Mizutani, Katsunori Shimohara
    Heterogeneity enhanced order in a chaotic neural network. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:147-152 [Conf]
  26. Christophe Lecerf
    Tackling the stability/plasticity dilemma with double loop dynamic systems. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:153-158 [Conf]
  27. John A. Bullinaria, Patricia M. Riddell, Simon K. Rushton
    Regularization in oculomotor adaptation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:159-164 [Conf]
  28. Heiko Neumann, Wolfgang Sepp
    Recurrent V1-V2 interaction for early visual information processing. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:165-170 [Conf]
  29. Katrin Suder, Florentin Wörgötter, Thomas Wennekers
    Neural field description of state-dependent receptive field changes in the visual cortex. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:171-176 [Conf]
  30. James Tin-Yau Kwok
    Integrating the evidence framework and the support vector machine. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:177-182 [Conf]
  31. Koji Tsuda
    Support vector classifier with asymetric kernel function. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:183-188 [Conf]
  32. Nello Cristianini, Colin Campbell, John Shawe-Taylor
    A multiplicative updating algorithm for training support vector machine. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:189-194 [Conf]
  33. Rodrigo Fernández, Emmanuel Viennet
    Face identification using support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:195-200 [Conf]
  34. Arnaud Buhot, Mirta B. Gordon
    Statistical mechanics of support vector machine. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:201-206 [Conf]
  35. Pierre M. L. Drezet, Robert F. Harrison
    An efficient formulation of sparsity controlled support vector regression. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:207-212 [Conf]
  36. Davide Mattera, Francesco Palmieri, Simon Haykin
    Generalized support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:213-218 [Conf]
  37. Jason Weston, Chris Watkins
    Support vector machines for multi-class pattern recognition. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:219-224 [Conf]
  38. Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou
    From regression to classification in support vector machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:225-230 [Conf]
  39. Michèle Sebag
    From first order logic to Nd: a data driven reformulation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:231-236 [Conf]
  40. Christian Wöhler, Ulrich Kressel, Jürgen Schürmann, Joachim K. Anlauf
    Dimensionality reduction by local processing. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:237-244 [Conf]
  41. Thilo-Thomas Frieß, Robert F. Harrison
    A kernel based adaline. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:245-250 [Conf]
  42. David M. J. Tax, Robert P. W. Duin
    Data domain description using support vectors. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:251-256 [Conf]
  43. N. Barabino, M. Pallavicini, A. Petrolini, Massimiliano Pontil, Alessandro Verri
    Support vector machines vs multi-layer perceptrons in particle identification. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:257-262 [Conf]
  44. Hervé Frezza-Buet, Frédéric Alexandre
    Specialization with cortical models: An application to causality learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:263-268 [Conf]
  45. Arnaud Ribert, Abdel Ennaji, Yves Lecourtier
    Generalisation capabilities of a distributed neural classifier. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:269-274 [Conf]
  46. Simone Fiori, Francesco Piazza
    A comparison of three PCA neural techniques. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:275-280 [Conf]
  47. Donald MacDonald, Darryl Charles, Colin Fyfe
    Neural networks which identify composite factors. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:281-288 [Conf]
  48. Kamal R. Al-Rawi, Consuelo Gonzalo, Agueda Arquero
    Supervised Art-II: a new neural network architecture, with quicker learning algorithm, for learning and classifying multivaled input patterns. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:289-294 [Conf]
  49. Heiko Wersing, Helge Ritter
    Feature binding and relaxation labeling with the competitive layer model. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:295-300 [Conf]
  50. Christian Wöhler, Jürgen Schürmann, Joachim K. Anlauf
    Segmentation-free detection of overtaking vehicles with a two-stage time-delay neural network classifier. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:301-306 [Conf]
  51. Roelof K. Brouwer
    An integer recurrent artificial neural network for classifying feature vectors. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:307-312 [Conf]
  52. L. B. Jack, Asoke K. Nandi
    Feature selection for ANNs using genetic algorithms in condition monitoring. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:313-318 [Conf]
  53. Colin Fyfe
    Trends in Unsupervised Learning. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:319-326 [Conf]
  54. Arnaud Buhot, Mirta B. Gordon
    Detection of two Gaussian clusters. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:327-332 [Conf]
  55. Francesco Palmieri, Alessandra Budillon, Davide Mattera
    Independent component analysis for mixture densities. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:333-338 [Conf]
  56. Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen
    Extraction of intrinsic dimension using CCA - Application to blind sources separation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:339-344 [Conf]
  57. Darryl Charles, Colin Fyfe
    Noise to extract independent causes. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:345-350 [Conf]
  58. Jan van den Berg, Martijn J. Schuemie
    Information retrieval systems using an associative conceptual space. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:351-356 [Conf]
  59. Arnaud Revel, Philippe Gaussier, Jean-Paul Banquet
    Taking inspiration from the Hippocampus can help solving robotics problems. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:357-362 [Conf]
  60. Valentina Colla, Leonardo Maria Reyneri, Mirko Sgarbi
    Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:363-369 [Conf]
  61. Jochen J. Steil, Helge Ritter
    Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:370-374 [Conf]
  62. Ramón P. Ñeco, Mikel L. Forcada, Rafael C. Carrasco, M. Ángeles Valdés-Muñoz
    Encoding of sequential translators in discrete-time recurrent neural nets. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:375-380 [Conf]
  63. Antoine Fache, Olivier Dubois, Alain Billat
    On the invertibility of the RBF model in a predictive control strategy. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:381-386 [Conf]
  64. Anton M. Sirota, Alexander A. Frolov, Dusan Húsek
    Nonlinear factorization in sparsely encoded Hopfield-like neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:387-392 [Conf]
  65. Bruno Crespi, Ignazio Lazzizzera
    Storage capacity and dynamics of nonmonotonic networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:393-398 [Conf]
  66. Fabien Belloir, Antoine Fache, Alain Billat
    A general approach to construct RBF net-based classifier. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:399-404 [Conf]
  67. Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller
    Hidden Markov gating for prediction of change points in switching dynamical systems. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:405-410 [Conf]
  68. Christian W. Eurich, Thorsten Conradi, Helmut Schwegler
    Critical and non-critical avalanche behavior in networks of integrate-and-fire neurons. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:411-416 [Conf]
  69. Thomas Natschläger, Wolfgang Maass
    Fast analog computation in networks of spiking neurons using unreliable synapses. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:417-422 [Conf]
  70. Philipp Häfliger
    Learning a temporal code. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:423-428 [Conf]
  71. Michael Schmitt
    VC dimension bounds for networks of spiking neurons. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:429-434 [Conf]
  72. Stefan D. Wilke, Christian W. Eurich
    What does a neuron talk about? [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:435-440 [Conf]
  73. Jean-Marc Boite, Christophe Ris
    Development of a French speech recognizer using a hybrid HMM/MLP system. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:441-446 [Conf]
  74. Yves Moreau, Ellen Lerouge, Herman Verrelst, Joos Vandewalle, Christof Störmann, Peter Burge
    A hybrid system for fraud detection in mobile communications. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:447-454 [Conf]
  75. Joseph Rynkiewicz
    Hybrid HMM/MLP models for times series prediction. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:455-462 [Conf]
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