ESANN 2001:
Bruges,
Belgium
ESANN 2001, 9th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 25-27, 2001, Proceedings.
2001 BibTeX
Pattern recognition - classification
Signal processing and vision
- Axel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger:
Analysis of dynamic perfusion MRI data by neural networks.
19-24
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- Bogdan Raducanu, Manuel Graña:
Visual self-localization with morphological neural networks.
25-30
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- Carlos García Puntonet, Ali Mansour, Manuel Rodríguez Álvarez, Beatriz Prieto, Ignacio Rojas Ruiz:
A stochastic and competitive network for the separation of sources.
31-38
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- Vincent Vigneron, Ludovic Aubry:
More on stationnary points in Independent Component Analysis.
39-44
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Dedicated hardware implementations:
prespectives on systems and applications
Novel neural transfer functions
ANN models and learning I
Neural networks and evolutionary/genetic algorithms - hybrid approaches
- Thomas Villmann:
Evolutionary algorithms and neural networks in hybrid systems.
137-152
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- Paulo Cortez, Miguel Rocha, José Neves:
Lamarckian training of feedforward neural networks.
153-158
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- Udo Seiffert:
Multiple Layer Perceptron training using genetic algorithms.
159-164
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- Karl-Theodor Kalveram, Ulrich Nakte:
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms.
165-170
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- Fernando Fernández, Pedro Isasi:
Designing nearest neighbour classifiers by the evolution of a population of prototypes.
171-178
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- Jutta Huhse, Andreas Zell:
Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attraction.
179-184
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- I. Chalkiadakis, George A. Rovithakis, Michael E. Zervakis:
A structural genetic algorithm to optimize High Order Neural Network architecture.
185-192
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- Domingo Ortiz-Boyer, César Hervás-Martínez, José Muñoz-Pérez:
Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods.
193-198
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- Ignacio Rojas Ruiz, José Luis Bernier, Eduardo Ros Vidal, Fernando J. Rojas, Carlos García Puntonet:
The synergy between multideme genetic algorithms and fuzzy systems.
199-204
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ANN models and learning II
Neural networks in finance
Data processing
Dynamical systems and chaos
Artificial neural networks and early vision processing
- Darryl Charles, Colin Fyfe:
Unsupervised models for processing visual data.
301-308
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- Magnus Borga, Hans Knutsson:
Canonical correlation analysis in early vision processing.
309-314
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- Tino Lourens, Kazuhiro Nakadai, Hiroshi G. Okuno, Hiroaki Kitano:
A computational model of monkey grating cells for oriented repetitive alternating patterns.
315-322
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- Stefan D. Wilke, Andreas Thiel, Christian W. Eurich, Martin Greschner, Markus Bongard, Josef Ammermüller, Helmut Schwegler:
Extracting motion information using a biologically realistic model retina.
323-328
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- Tino Lourens, Kazuhiro Nakadai, Hiroshi G. Okuno, Hiroaki Kitano:
Graph extraction from color images.
329-334
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- L. Tan, Colin Fyfe:
Sparse Kernel Canonical Correlation Analysis.
335-340
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ANN models and learning III
- Xavier Parra, Andreu Català:
Learning fault-tolerance in Radial Basis Function Networks.
341-346
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- César Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva:
A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures.
347-352
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- Tarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta, Makoto Amamiya:
SOM competition for complex image scene with variant object positions.
353-358
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- Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Numerical implementation of continuous Hopfield networks for optimization.
359-364
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- Roelof K. Brouwer, Witold Pedrycz:
One-to-many mappings represented on feed-forward networks.
365-370
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- Gerald H. L. Cheang, Andrew R. Barron:
Penalized least squares, model selection, convex hull classes and neural nets.
371-376
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- Yoshifusa Ito, Cidambi Srinivasan:
Bayesian decision theory on three layered neural networks.
377-382
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- Joseph Rynkiewicz:
Estimation of Hybrid HMM/MLP models.
383-390
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- Patrice Wira, Jean-Philippe Urban, Julien Gresser:
A divide-and-conquer learning architecture for predicting unknown motion.
391-396
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- Emilio Corchado, Darryl Charles, Colin Fyfe:
Rectified Gaussian distributions and the formation of local filters from video data.
397-402
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- Elena Bellei, Diego Guidotti, Ruggero Petacchi, Leonardo Maria Reyneri, Italo Rizzi:
Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture.
403-408
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Copyright © Sat May 16 23:10:41 2009
by Michael Ley (ley@uni-trier.de)
