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ESANN 1997 programme

Wednesday 16th April 1997

  • 8H30 Registration

    Session 1: Models 1
    Chairman: John Taylor (King's College London, UK)

  • 9H00 "Speaker normalization with a mixture of recurrent networks"
    E. Trentin, D. Giuliani
    IRST Trento (Italy)
  • 9H20 "Neural network cooperation for handwritten digit recognition: a comparison of four methods"
    Y. Autret*, A. Thepaut**
    *Univ. Bretagne Occidentale
    **Telecom Bretagne (France)
  • 9H40 "Probabilistic self organized map - application to classification"
    F. Anouar*, F. Badran*, S. Thiria*,**
    *Cons. Nat. des Arts et Métiers
    **Univ. Paris 6 (France)
  • 10H00 "Performance of weighted radial basis function classifiers"
    L.M. Reyneri, M. Sgarbi
    Politecnico di Torino (Italy)
  • 10H20 "Equivalence of a radial basis function NN and a perceptron"
    I. Grabec
    Univ. of Ljubljana (Slovenia)
  • 10H40 Coffee break

    Session 2: Biological modelling and vision
    Chairman: Jean-Pierre Rospars (INRIA Versailles, France)

  • 11H05 "Real neurons in real networks"
    T. Scutt, B. Webb
    Univ. of Nottingham (UK)
  • 11H25 "Synchronization and oscillations in the visual cortex: a stochastic model using a spike memory term"
    M. Mougeot
    ENS Cachan, Univ. Paris X (France)
  • 11H45 "From retinal circuits to motion processing: a neuromorphic approach to velocity estimation"
    A. Torralba, J. Herault
    I.N.P. Grenoble (France)
  • 12H05 "Size invariance by dynamic scaling in neural vision systems"
    G. Meierfrankenfeld, K. Kopecz
    Univ. of Marburg (Germany)
  • 12H25 "Object recognition with banana wavelets"
    N. Kruger, G. Peters
    Ruhr-Univ. Bochum (Germany)
  • 12H45 Lunch

    Invited session: Object and scene recognition: experimental results and models
    Organiser: Aude Olivia (Univ. of Glasgow, UK)

  • 14H00 Introduction (A. Olivia)
  • 14H05 "Neural network for color contrast gain control"
    M. D'Zmura
    Univ. of California (USA)
  • 14H25 "Neuronal theories and technical systems for face recognition"
    R.P. Wurtz
    Univ. of Groningen (The Netherlands)
  • 14H45 "How can the human visual system process a natural scene in under 150ms? Experiments and neural network models"
    S. Thorpe
    Fac. De Médecine de Rangueil (France)
  • 15H05 "Aspects of psychological computations in scene recognition"
    P. Schyns
    Univ. of Glasgow (UK)
  • 15H25 "Scene classification by an artificial neural network"
    J. Herault
    I.N.P. Grenoble (France)
  • 15H45 coffee break

    Session 4: Statistics and rule extraction
    Chairman: E. Mayoraz (IDIAP Martigny, Switzerland)

  • 16H10 "Two neural network methods for multidimensional scaling"
    M. C. van Wezel, J. N. Kok, W. A. Kosters
    Leiden Univ. (The Netherlands)
  • 16H30 "Sequential hypotheses tests for modelling neural networks"
    U. Anders, O. Korn
    Centre for European Economic Research Mannheim (Germany)
  • 16H50 "Extraction of crisp logical rules using constrained backpropagation networks"
    W. Duch*,**, R. Adamczak**, K. Grabczewski**, M. Ishikawa*, H. Ueda*
    *Kyushu Inst. Of Tech. (Japan)
    **Nicholas Copernicus Univ. (Poland)
  • 17H10 "Knowledge extraction from neural networks for signal interpretation"
    F. Alexandre, J.-F. Remm
    INRIA (France)
  • 17H30 "Equivalent error bars for neural network classifiers trained by Bayesian inference"
    P. Sykacek
    Austrian Research Inst. For Artificial Intelligence (Austria)
Thursday 17th April 1997

Session 5: Forecasting and chaos
Chairman: Martin Hasler (EPF Lausanne, Switzerland)

  • 9H00 "d-NARMA neural networks: a connectionist extension of ARARMA models"
    D. Bonnet*,**, V. Perrault**, A. Grumbach*
    *ENST Paris
    **SNCF (France)
  • 9H20 "Neural networks modeling for time series analysis: new results"
    M. Mangeas, M. Cottrell, J.-F. Yao
    Univ. Paris 1 (France)
  • 9H40 "Error measure for identifying chaotic attractors"
    T. Hrycej
    Daimler-Benz AG (Germany)
  • 10H00 "A fuzzy Artmap neural system for the prediction of turbulent velocity fields"
    J. Ferre-Gine, R. Rallo, A. Arenas, F. Giralt
    Univ. Rovira I Virgili (Spain)
  • 10H20 Coffee break

    Invited session: Theory of neural networks with statistical mechanics approaches
    Organiser: M. Gordon (CEA Grenoble, France)

  • 10H40 Introduction (M. Gordon)
  • 10H45 "Numerical simulations of an optimal algorithm for supervised learning"
    A. Buhot, J.-M. Torres Moreno, M. B. Gordon
    CEA Grenoble (France)
  • 11H05 "Exact asymptotic estimates of the storage capacities of the committee machines with overlapping and non-overlapping receptive fields"
    C. Kwon*, J.-H. Oh**
    *Myong Ji Univ.
    **Pohang Univ. of Science and Tech. (Korea)
  • 11H25 "Optimal tuning curves for neurons spiking as a Poisson process"
    N. Brunel, J.P. Nadal
    Ecole Normale Sup. Paris (France)
  • 11H45 "Bayesian online learning in the perceptron"
    O. Winther, S. A. Solla
    Niels Bohr Inst. Copenhagen (Denmark)
  • 12H05 "Precursor networks for training the binary perceptron"
    B. Van Rompaey
    Limburgs Universitair Centrum (Belgium)
  • 12H25 "Noise robustness in the perceptron"
    M. Copelli
    Limburgs Universitair Centrum (Belgium)
  • 12H45 Lunch

    Session 7: Self-organizing maps
    Chairman: François Blayo (Prefigure Lyon, France)

  • 14H00 "State-space modeling using self-organizing maps"
    H. Hyotyniemi
    Helsinky Univ. of Technology (Finland)
  • 14H20 "Almost sure convergence of the one-dimensional Kohonen algorithm"
    M. Benaïm*, J.-C. Fort**, G. Pagès***
    *Univ. Toulouse Paul Sabatier
    **Univ. Nancy Henri Poincaré and Univ. Paris 1
    ***Univ. Paris 12 and 6 (France)
  • 14H40 "Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences"
    A.I. Gonzales*, M. Grana*, A. D'Anjou*, F.X. Albizuri*, M. Cottrell**
    *UPV San Sebastian (Spain)
    **Univ. Paris 1 (France)
  • 15H00 "Measuring topology preservation in maps of real-world data"
    M. Herrmann*, H.-U. Bauer*, T. Villmann**
    *MPI für Strömungsforschung
    **Univ. Leipzig (Germany)
  • 15H20 "Kohonen maps versus vector quantization for data analysis"
    E. de Bodt*, M. Verleysen*, M. Cottrell**
    *Univ. Louvain-la-Neuve (Belgium)
    **Univ. Paris 1 (France)
  • 15H40 Coffee break

    Session 8: Learning 1
    Chairman: Wlodek Duch (Nicholas Copernicus Univ., Poland)

  • 16H05 "The class of linear separability method"
    M. Tajine*, D. Elizondo*,**, E. Fiesler**, J. Korczak*
    *Univ. Louis Pasteur (France)
    **IDIAP (Switzerland)
  • 16H25 "Connectionist rule processing using recursive auto-associative memory"
    M. St Aubyn
    Univ. of Hertfordshire (UK)
  • 16H45 "An algebra for recognition of spatio-temporal forms"
    G. Vaucher
    Supelec (France)
  • 17H05 "Application of a self-learning controller with continuous control signals based on the DOE-approach"
    M. Riedmiller
    Univ. Karlsruhe (Germany)
  • 20H00 Conference dinner
Friday 18th April 1997

Invited session: Source separation and Independent Component Analysis
Organiser: C. Jutten (INP Grenoble, France)

  • 9H00 From source separation to ICA: an introduction to the special session (C. Jutten)
  • 9H05 "A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria"
    S. Choi, R.-W. Liu
    Univ. of Notre-Dame (USA)
  • 9H25 "A competitive learning algorithm for separating binary sources"
    P. Pajunen
    Helsinki Univ. of Technology (Finland)
  • 9H45 "A linear adaptive neural network for extraction of independent components"
    Z. Malouche, O. Macchi
    Supélec (France)
  • 10H05 "Blind equalization with a linear feedforward neural network"
    X.-R. Cao*, J. Zhu*, J. Si**
    *Hong-Kong Univ. of Science and Technology (Hong-Kong)
    **Arizona State Univ. (USA)
  • 10H25 Coffee break
  • 10H50 "Optimization of the asymptotic performance of time-domain convolutive source separation algorithms"
    N. Charkani*, Y. Deville**
    *Lab. Electronique Philips
    **I.N.P. Grenoble (France)
  • 11H10 "Nonlinear source separation: the post-nonlinear mixtures"
    A. Taleb, C. Jutten
    I.N.P. Grenoble (France)
  • 11H30 "I.C.A.: conditions on cumulants and information theoretic approach"
    J.-P. Nadal*, N. Parga**
    *E.N.S. Paris (France)
    **Univ. Aut. Madrid (Spain)
  • 11H50 "Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities"
    L. Xu*, C.C. Cheung*, J. Ruan*, S.-I. Amari**
    *Chinese Univ. of Hong-Kong (Hong-Kong)
    **Riken (Japan)
  • 12H10 "Independence is far from normal"
    M. Girolami, C. Fyfe
    Univ. of Paisley (UK)
  • 12H30 Lunch

    Session 10: Learning 2
    Chairman: Joan Cabestany (Univ. Polyt. Catalunya, Spain

  • 14H00 "Composition methods for the integration of dynamical neural networks"
    Y. Moreau, J. Vandewalle
    Kat. Univ. Leuven (Belgium)
  • 14H20 "Order between logic networks and stable neural networks"
    Y. Kobuchi
    Ryukoku Univ. (Japan)
  • 14H40 "Inductive learning in animat-based neural networks"
    M. Wexler
    College de France (France) LI>15H00 "Extended Bayesian learning"
    S. Gutjahr, C. Nautze
    Univ. of Karlsruhe (Germany)
  • 15H20 coffee break

    Session 11: Models 2
    Chairman: Eric Noldus (Univ. Gent, Belgium)

  • 15H30 "Evidence of efficiency of recurrent neural networks with ARMA-like units"
    J.P. Draye*, D. Pavisic*, G. Cheron**, G. Libert*
    *Fac. Polytech. Mons
    **Univ. of Brussels (Belgium)
  • 15H50 "Recurrent neural networks and motor programs"
    P. I. Miller
    Univ. of Stirling (UK)
  • 16H10 "Time delay neural network for target-intercept problem solving"
    A. Korgul
    Military Univ. of Technology Warsaw (Poland)
  • 16H30 "Neural network adative wavelets for function approximation"
    F. Yong, T.W.S. Chow
    City Univ. of Hong-Kong (Hong-Kong)
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