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12. ICANN 2002: Madrid, Spain

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  • Computational Neuroscience
  • Connectionist Cognitive Science
  • Data Analysis and Pattern Recognition
  • Kernel Methods
  • Robotics and Control
  • Selforganization
  • Signal and Time Series Analysis
  • Vision and Image Processing
  • Special Session: Adaptivity in Neural Computation
  • Special Session: Recurrent Neural Systems

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    José R. Dorronsoro:
    Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings. Lecture Notes in Computer Science 2415, Springer 2002, ISBN 3-540-44074-7

Computational Neuroscience

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    Gustavo Deco, Edmund T. Rolls:
    A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data. 3-8
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    Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
    A Neural Model of Spatio Temporal Coordination in Prehension. 9-14
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    Andreas Thiel, Christian W. Eurich, Helmut Schwegler:
    Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback. 15-20
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    Wolfgang Einhäuser, Christoph Kayser, Konrad P. Körding, Peter König:
    Learning Multiple Feature Representations from Natural Image Sequences. 21-26
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    Carlos Aguirre, Ramón Huerta, Fernando J. Corbacho, Pedro Pascual:
    Analysis of Biologically Inspired Small-World Networks. 27-32
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    Jarmo Hurri, Aapo Hyvärinen:
    Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video. 33-38
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    Maria Marinaro, Silvia Scarpetta:
    Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks. 39-44
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    Bruce P. Graham:
    Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse. 45-50
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    Barbara Caputo, Heinrich Niemann:
    Storage Capacity of Kernel Associative Memories. 51-56
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    Jörg Lücke, Christoph von der Malsburg, Rolf P. Würtz:
    Macrocolumns as Decision Units. 57-62
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    Thomas Wennekers:
    Nonlinear Analysis of Simple Cell Tuning in Visual Cortex. 63-68
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    Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
    Clustering within Integrate-and-Fire Neurons for Image Segmentation. 69-74
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    Rogério de Oliveira, Luiz Henrique Alves Monteiro:
    Symmetry Detection Using Global-Locally Coupled Maps. 75-80
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    Pietro Berkes, Laurenz Wiskott:
    Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties. 81-86
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    Thomas Strösslin, Christophe Krebser, Angelo Arleo, Wulfram Gerstner:
    Combining Multimodal Sensory Input for Spatial Learning. 87-92
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    Rüdiger Kupper, Reinhard Eckhorn:
    A Neural Network Model Generating Invariance for Visual Distance. 93-98
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    Ilya A. Rybak, Dmitry G. Ivashko, Boris I. Prilutsky, M. Anthony Lewis, John K. Chapin:
    Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG. 99-104
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    Angel Nevado, Malcolm P. Young, Stefano Panzeri:
    Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques. 105-110
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    Maurizio Mattia, Paolo Del Giudice:
    Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays. 111-116
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    Nhamo Mtetwa, Leslie S. Smith, Amir Hussain:
    Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons. 117-122
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    Peter Auer, Harald Burgsteiner, Wolfgang Maass:
    Reducing Communication for Distributed Learning in Neural Networks. 123-128
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    David R. C. Dominguez, Elka Korutcheva, W. K. Theumann, Rubem Erichsen Jr.:
    Flow Diagrams of the Quadratic Neural Network. 129-134
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    Gianluigi Mongillo, Daniel J. Amit:
    Dynamics of a Plastic Cortical Network. 135-140
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    Michele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Stefano Fusi:
    Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron. 141-146
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    Kris De Meyer, J. Mark Bishop, Slawomir J. Nasuto:
    Small-World Effects in Lattice Stochastic Diffusion Search. 147-152
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    Burkhard Iske, Axel Löffler, Ulrich Rückert:
    A Direction Sensitive Network Based on a Biophysical Neurone Model. 153-159
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    Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona:
    Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis. 160-166
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    Francisco de Borja Rodríguez Ortiz, Roberto Latorre, Pablo Varona:
    Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis. 167-173
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    José Manuel Ferrández de Vicente, Markus Bongard, Francisco García de Quirós, Jose Angel Bolea, Eduardo Fernández:
    Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory. 174-179
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    Giancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi:
    Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. 180-185
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    David C. Sterratt, Arjen van Ooyen:
    Does Morphology Influence Temporal Plasticity? 186-191
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    Christopher Johansson, Anders Sandberg, Anders Lansner:
    Attractor Neural Networks with Hypercolumns. 192-197
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    Eduardo Sánchez Vila, Senén Barro, Antonio Canedo:
    Edge Detection and Motion Discrimination in the Cuneate Nucleus. 198-203
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    Alessandro Usseglio Viretta, Stefano Fusi, Shih-Chii Liu:
    Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks. 204-209
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    Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe:
    Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons. 210-215
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    Francisco García-Córdova, Javier Molina-Vilaplana, Juan López Coronado:
    A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform. 216-222
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    Rubén Moreno, Néstor Parga:
    Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input. 223-228
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    Jens R. Otterpohl, Klaus Pawelzik:
    Iterative Population Decoding Based on Prior Beliefs. 229-234
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    Giancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher:
    When NMDA Receptor Conductances Increase Inter-spike Interval Variability. 235-240
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    Stefano Fusi:
    Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity. 241-247
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    Manuel A. Sánchez-Montañés, Luis Fernando Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez, Jon I. Arellano, Javier DeFelipe:
    A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy. 248-253
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    Wolfgang Maass:
    On the Computational Power of Neural Microcircuit Models: Pointers to the Literature. 254-258

Connectionist Cognitive Science

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    Erol Gelenbe, Ricardo Lent, Zhiguang Xu:
    Networking with Cognitive Packets. 259-264
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    J. G. (Iain) Wallace, Kevin Bluff:
    Episodic Memory: A Connectionist Interpretation. 265-270
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    Hervé Frezza-Buet:
    Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach. 271-276
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    Ivilin Peev Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta:
    Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. 277-283
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    Douglas Eck, Jürgen Schmidhuber:
    Learning the Long-Term Structure of the Blues. 284-289
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    Antonella Bua, Marco Gori, Fabrizio Santini:
    Recursive Neural Networks Applied to Discourse Representation Theory. 290-295
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    Sheila Garfield, Stefan Wermter:
    Recurrent Neural Learning for Helpdesk Call Routing. 296-301
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    Jerzy Korczak, Emmanuel Blindauer:
    An Approach to Encode Multilayer Perceptrons. 302-307
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    J. Mark Bishop, Slawomir J. Nasuto, Kris De Meyer:
    Dynamic Knowledge Representation in Connectionist Systems. 308-313
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    Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchis:
    Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. 314-322

Data Analysis and Pattern Recognition

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    J. David Buldain Pérez:
    Entropic Measures with Radial Basis Units. 323-328
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    Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller:
    New Methods for Splice Site Recognition. 329-336
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    Yoshifusa Ito:
    A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks. 337-343
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    Syed Saad Azhar Ali, Hussain N. Al-Duwaish:
    Identification of Wiener Model Using Radial Basis Functions Neural Networks. 344-350
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    Max Welling, Geoffrey E. Hinton:
    A New Learning Algorithm for Mean Field Boltzmann Machines. 351-357
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    Hsin Chen, Alan F. Murray:
    A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm. 358-363
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    José Elías Herrero Jaraba, Carlos Orrite-Uruñuela, J. David Buldain Pérez, Armando Roy-Yarza:
    Human Recognition by Gait Analysis Using Neural Networks. 364-369
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    Barbara Hammer, Marc Strickert, Thomas Villmann:
    Learning Vector Quantization for Multimodal Data. 370-376
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    Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
    Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities. 377-382
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    Bart Bakker, Tom Heskes:
    Model Clustering for Neural Network Ensembles. 383-388
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    José Luis Fernández-Villacañas Martín, Mónica Sierra Sánchez:
    Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms? 389-394
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    Jesús Manuel Besada-Juez, Miguel Angel Sanz-Bobi:
    Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network. 395-400
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    Andreas Alexander Albrecht, Staal Amund Vinterbo, C. K. Wong, Lucila Ohno-Machado:
    A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data. 401-407
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    Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
    Neural Minimax Classifiers. 408-413
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    Martin Lauer:
    Sampling Parameters to Estimate a Mixture Distribution with Unknown Size. 414-419
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    Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist:
    Selecting Neural Networks for Making a Committee Decision. 420-425
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    Patrice Fleury, Alan F. Murray, H. Martin Reekie:
    High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning. 426-431
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    Sebastian Weng, Jochen J. Steil:
    Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling. 432-437
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    Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis, Eduardo Gómez-Sánchez:
    A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-Fuzzy System for On-Line Handwriting Recognition. 438-443
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    Giancarlo Ferrari-Trecate, Marco Muselli:
    A New Learning Method for Piecewise Linear Regression. 444-449
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    Thore Graepel, Nicol N. Schraudolph:
    Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. 450-455
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    Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo:
    Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. 456-461
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    Victor M. Preciado:
    Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network. 462-467
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    Davide Anguita, Matteo Gagliolo:
    MDL Based Model Selection for Relevance Vector Regression. 468-473
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    Mario Köppen:
    On the Training of a Kolmogorov Network. 474-479
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    Nojun Kwak, Chong-Ho Choi:
    A New Method of Feature Extraction and Its Stability. 480-485
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    Khalid Benabdeslem, Younès Bennani, Eric Janvier:
    Visualization and Analysis of Web Navigation Data. 486-491
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    Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
    Missing Value Estimation Using Mixture of PCAs. 492-497
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    Jakob Svensson, Manfred von Hellermann, Ralf König:
    High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas. 498-503
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    Krzysztof Grabczewski, Wlodzislaw Duch:
    Heterogeneous Forests of Decision Trees. 504-509
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    Stéphane Bounkong, David Saad, David Lowe:
    Independent Component Analysis for Domain Independent Watermarking. 510-515
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    Thomas Ragg, Frank Padberg, Ralf Schoknecht:
    Applying Machine Learning to Solve an Estimation Problem in Software Inspections. 516-521
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    Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii:
    Clustering of Gene Expression Data by Mixture of PCA Models. 522-527
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    Masashi Sugiyama, Klaus-Robert Müller:
    Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. 528-534
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    Takafumi Kanamori:
    A New Sequential Algorithm for Regression Problems by Using Mixture Distribution. 535-540
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    Damián López, María José Castro:
    Neural-Based Classification of Blocks from Documents. 541-546
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    Sancho Salcedo-Sanz, Mario de Prado-Cumplido, Fernando Pérez-Cruz, Carlos Bousoño-Calzón:
    Feature Selection via Genetic Optimization. 547-552
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    Jesús González, Ignacio Rojas, Héctor Pomares:
    Neural Networks, Clustering Techniques, and Function Approximation Problems. 553-558
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    Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser:
    Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. 559-564
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    César Ernesto Martínez, Alfons Juan, Francisco Casacuberta:
    Using Recurrent Neural Networks for Automatic Chromosome Classification. 565-570
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    Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
    A Mixed Ensemble Approach for the Semi-supervised Problem. 571-576
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    Álvaro Mateos, Javier Herrero, Joaquín Dopazo:
    Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes. 577-582
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    Gérald Gavin, Olivier Teytaud:
    Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error. 583-588
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    Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas:
    SSA, SVD, QR-cp, and RBF Model Reduction. 589-594
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    Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner:
    Linkage Analysis: A Bayesian Approach. 595-600
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    Alessandro Sperduti:
    On Linear Separability of Sequences and Structures. 601-606
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    Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann:
    Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. 607-612
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    Pedro J. Zufiria, Carlos Rivero:
    EM-Based Radial Basis Function Training with Partial Information. 613-618
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    Matteo Giudici, Filippo Queirolo, Maurizio Valle:
    Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters. 619-624
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    Alejandro Sierra, Fernando J. Corbacho:
    Input and Output Feature Selection. 625-630
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    Luis Fernando Lago-Fernández, Fernando J. Corbacho:
    Optimal Extraction of Hidden Causes. 631-636
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    Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
    Towards a New Information Processing Measure for Neural Computation. 637-642
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    Magnus Stensmo:
    A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System. 643-648
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    Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi:
    Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. 649-654
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    Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
    Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. 655-660
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    Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
    Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. 661-666
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    Brieuc Conan-Guez, Fabrice Rossi:
    Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach. 667-672
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    José R. Dorronsoro, Ana M. González:
    Natural Gradient and Multiclass NLDA Networks. 673-680

Kernel Methods

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    Gavin C. Cawley, Nicola L. C. Talbot:
    A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. 681-686
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    Vladimir Cherkassky, Yunqian Ma:
    Selection of Meta-parameters for Support Vector Regression. 687-693
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    Thore Graepel:
    Kernel Matrix Completion by Semidefinite Programming. 694-699
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    Masa-aki Sato, Shigeyuki Oba:
    Incremental Sparse Kernel Machine. 700-707
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    Alain Rakotomamonjy, Stéphane Canu:
    Frame Kernels for Learning. 707-712
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    Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle:
    Robust Cross-Validation Score Function for Non-linear Function Estimation. 713-719
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    Bart Hamers, Johan A. K. Suykens, Bart De Moor:
    Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models. 720-726
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    Koji Tsuda, Motoaki Kawanabe:
    The Leave-One-Out Kernel. 727-732
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    Silvio Borer, Wulfram Gerstner:
    Support Vector Representation of Multi-categorical Data. 733-738
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    Takashi Takahashi, Takio Kurita:
    Robust De-noising by Kernel PCA. 739-744
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    Peter Meinicke, Thorsten Twellmann, Helge J. Ritter:
    Maximum Contrast Classifiers. 745-750
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    Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
    Puncturing Multi-class Support Vector Machines. 751-756
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    Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
    Multi-dimensional Function Approximation and Regression Estimation. 757-762
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    Javier M. Moguerza, Alberto Muñoz, Manuel Martín-Merino:
    Detecting the Number of Clusters Using a Support Vector Machine Approach. 763-768
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    George Siolas, Florence d'Alché-Buc:
    Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling. 769-776

Robotics and Control

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    Masa-aki Sato, Yutaka Nakamura, Shin Ishii:
    Reinforcement Learning for Biped Locomotion. 777-782
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    Martin Hülse, Frank Pasemann:
    Dynamical Neural Schmitt Trigger for Robot Control. 783-788
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    David McMinn, Grant M. Maxwell, Christopher MacLeod:
    Evolutionary Artificial Neural Networks for Quadruped Locomotion. 789-794
• 
  • 
  • 
  • 
  • 
    Jörg Conradt, Pascal Simon, Michel Pescatore, Paul F. M. J. Verschure:
    Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance. 795-800
• 
  • 
  • 
  • 
  • 
    Randa Herzallah, David Lowe:
    A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems. 801-806
• 
  • 
  • 
  • 
  • 
    Rodolfo E. Haber, Angel Alique, José R. Alique:
    Tool Wear Prediction in Milling Using Neural Networks. 807-812
• 
  • 
  • 
  • 
  • 
    Ralf Schoknecht, Martin A. Riedmiller:
    Speeding-up Reinforcement Learning with Multi-step Actions. 813-818
• 
  • 
  • 
  • 
  • 
    Branimir Todorovic, Miomir S. Stankovic, Claudio Moraga:
    Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification. 819-824
• 
  • 
  • 
  • 
  • 
    Wolfgang Hübner, Hanspeter A. Mallot:
    Integration of Metric Place Relations in a Landmark Graph. 825-830
• 
  • 
  • 
  • 
  • 
    Steffen Simon, Friedhelm Schwenker, Hans A. Kestler, Gerhard K. Kraetzschmar, Günther Palm:
    Hierarchical Object Classification for Autonomous Mobile Robots. 831-836
• 
  • 
  • 
  • 
  • 
    José Antonio Becerra, Richard J. Duro, José Santos Reyes:
    Self Pruning Gaussian Synapse Networks for Behavior Based Robots. 837-843
• 
  • 
  • 
  • 
  • 
    Samuel Benzaquen, Carolina Chang:
    Second-Order Conditioning in Mobile Robots. 844-849
• 
  • 
  • 
  • 
  • 
    Lukas Lichtensteiger, Rolf Pfeifer:
    An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers. 850-855
• 
  • 
  • 
  • 
  • 
    Vicente Ruiz de Angulo, Carme Torras:
    Learning Inverse Kinematics via Cross-Point Function Decomposition. 856-864

Selforganization

• 
  • 
  • 
  • 
  • 
    Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
    The Principal Components Analysis Self-Organizing Map. 865-870
• 
  • 
  • 
  • 
  • 
    Elias Pampalk, Andreas Rauber, Dieter Merkl:
    Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps. 871-876
• 
  • 
  • 
  • 
  • 
    Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann:
    Rule Extraction from Self-Organizing Networks. 877-883
• 
  • 
  • 
  • 
  • 
    Akira Hirose, Tomoyuki Nagashima:
    Predictive Self-Organizing Map for Vector Quantization of Migratory Signals. 884-889
• 
  • 
  • 
  • 
  • 
    Mustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria:
    Categorical Topological Map. 890-895
• 
  • 
  • 
  • 
  • 
    Christo Panchev, Stefan Wermter, Huixin Chen:
    Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites. 896-901
• 
  • 
  • 
  • 
  • 
    Axel Saalbach, Gunther Heidemann, Helge J. Ritter:
    Parametrized SOMs for Object Recognition and Pose Estimation. 902-907
• 
  • 
  • 
  • 
  • 
    Alessio Plebe:
    An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map. 908-913
• 
  • 
  • 
  • 
  • 
    Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse:
    Coordinating Principal Component Analyzers. 914-919
• 
  • 
  • 
  • 
  • 
    Roberto Viviani:
    Lateral Interactions in Self-Organizing Maps. 920-926
• 
  • 
  • 
  • 
  • 
    Anssi Lensu, Pasi Koikkalainen:
    Complexity Selection of the Self-Organizing Map. 927-932
• 
  • 
  • 
  • 
  • 
    John Aldo Lee, Michel Verleysen:
    Nonlinear Projection with the Isotop Method. 933-938
• 
  • 
  • 
  • 
  • 
    Jens Christian Claussen, Heinz G. Schuster:
    Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map. 939-944
• 
  • 
  • 
  • 
  • 
    Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas:
    Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. 945-950
• 
  • 
  • 
  • 
  • 
    Juha Vesanto, Mika Sulkava:
    Distance Matrix Based Clustering of the Self-Organizing Map. 951-956
• 
  • 
  • 
  • 
  • 
    Dimitrios Vogiatzis, Andreas Stafylopatis:
    Mapping the Growing Neural Gas to Situation Calculus. 957-962
• 
  • 
  • 
  • 
  • 
    Ernesto Chiarantoni, Giuseppe Acciani, Girolamo Fornarelli, Silvano Vergura:
    Robust Unsupervised Competitive Neural Network by Local Competitive Signals. 963-968
• 
  • 
  • 
  • 
  • 
    Anand Panangadan, Michael G. Dyer:
    Goal Sequencing for Construction Agents in a Simulated Environment. 969-974
• 
  • 
  • 
  • 
  • 
    Guilherme De A. Barreto, Aluízio F. R. Araújo:
    Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map. 975-980
• 
  • 
  • 
  • 
  • 
    Markus Koskela, Jorma Laaksonen, Erkki Oja:
    Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. 981-986
• 
  • 
  • 
  • 
  • 
    Andrew Hunter, Richard Lee Kennedy:
    A Pareto Self-Organizing Map. 987-992
• 
  • 
  • 
  • 
  • 
    Apostolos Georgakis, Constantine Kotropoulos, Ioannis Pitas:
    A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval. 993-998
• 
  • 
  • 
  • 
  • 
    Jaakko Peltonen, Arto Klami, Samuel Kaski:
    Learning More Accurate Metrics for Self-Organizing Maps. 999-1004
• 
  • 
  • 
  • 
  • 
    Ignacio Díaz Blanco, Abel Alberto Cuadrado Vega, Alberto B. Diez González:
    Correlation Visualization of High Dimensional Data Using Topographic Maps. 1005-1012

Signal and Time Series Analysis

• 
  • 
  • 
  • 
  • 
    Arthur Flexer, Georg Gruber, Georg Dorffner:
    Continuous Unsupervised Sleep Staging Based on a Single EEG Signal. 1013-1018
• 
  • 
  • 
  • 
  • 
    Kai Chun Chiu, Lei Xu:
    Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management. 1019-1024
• 
  • 
  • 
  • 
  • 
    Zhiyong Liu, Lei Xu:
    On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model. 1025-1030
• 
  • 
  • 
  • 
  • 
    Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
    Error Functions for Prediction of Episodes of Poor Air Quality. 1031-1036
• 
  • 
  • 
  • 
  • 
    José L. Sanz-González, Francisco Álvarez-Vaquero:
    Adaptive Importance Sampling Technique for Neural Detector Training. 1037-1042
• 
  • 
  • 
  • 
  • 
    Hans van Lint, Serge P. Hoogendoorn, Henk J. van Zuylen:
    State Space Neural Networks for Freeway Travel Time Prediction. 1043-1048
• 
  • 
  • 
  • 
  • 
    Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet:
    Overcomplete ICA with a Geometric Algorithm. 1049-1054
• 
  • 
  • 
  • 
  • 
    Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
    Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. 1055-1069
• 
  • 
  • 
  • 
  • 
    Georg Zimmermann, Ralph Grothmann, Christoph Tietz, Ralph Neuneier:
    Market Modeling Based on Cognitive Agents. 1061-1067
• 
  • 
  • 
  • 
  • 
    Mikko Kurimo, Krista Lagus:
    An Efficiently Focusing Large Vocabulary Language Model. 1068-1073
• 
  • 
  • 
  • 
  • 
    Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
    Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components. 1074-1079
• 
  • 
  • 
  • 
  • 
    Héctor Allende, Claudio Moraga, Rodrigo Salas:
    Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. 1080-1086
• 
  • 
  • 
  • 
  • 
    Tobias Blaschke, Laurenz Wiskott:
    An Improved Cumulant Based Method for Independent Component Analysis. 1087-1093
• 
  • 
  • 
  • 
  • 
    Lars Kindermann, Achim Lewandowski, Peter Protzel:
    Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration. 1094-1099
• 
  • 
  • 
  • 
  • 
    José Luis Rojo-Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
    Support Vector Robust Algorithms for Non-parametric Spectral Analysis. 1100-1105
• 
  • 
  • 
  • 
  • 
    José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez:
    Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. 1106-1111
• 
  • 
  • 
  • 
  • 
    Gleb Basalyga, Magnus Rattray:
    Dynamics of ICA for High-Dimensional Data. 1112-1118
• 
  • 
  • 
  • 
  • 
    Riccardo Boscolo, Hong Pan, Vwani P. Roychowdhury:
    Beyond Comon's Identifiability Theorem for Independent Component Analysis. 1119-1124
• 
  • 
  • 
  • 
  • 
    Alexandre Hauser, Pierre-Edouard Sottas, José del R. Millán:
    Temporal Processing of Brain Activity for the Recognition of EEG Patterns. 1125-1130
• 
  • 
  • 
  • 
  • 
    Panayiotis Ch. Andreou, Chris Charalambous, Spiros H. Martzoukos:
    Critical Assessment of Option Pricing Methods Using Artificial Neural Networks. 1131-1136
• 
  • 
  • 
  • 
  • 
    Benjamin Blankertz, Christin Schäfer, Guido Dornhege, Gabriel Curio:
    Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates. 1137-1143
• 
  • 
  • 
  • 
  • 
    Pierre-Edouard Sottas, Wulfram Gerstner:
    Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks. 1144-1149
• 
  • 
  • 
  • 
  • 
    Gustavo López-Risueño, Jesús Grajal, Simon Haykin, Rosa Díaz-Oliver:
    Convolutional Neural Networks for Radar Detection. 1150-1155
• 
  • 
  • 
  • 
  • 
    Jens Kohlmorgen, Benjamin Blankertz:
    A Simple Generative Model for Single-Trial EEG Classification. 1156-1161
• 
  • 
  • 
  • 
  • 
    Pando G. Georgiev, Andrzej Cichocki:
    Robust Blind Source Separation Utilizing Second and Fourth Order Statistics. 1162-1167
• 
  • 
  • 
  • 
  • 
    Seungjin Choi:
    Adaptive Differential Decorrelation: A Natural Gradient Algorithm. 1168-1173
• 
  • 
  • 
  • 
  • 
    Carmen Peláez-Moreno, Emilio Parrado-Hernández, Ascensión Gallardo-Antolín, Adrián Zambrano-Miranda, Fernando Díaz-de-María:
    An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services. 1174-1179
• 
  • 
  • 
  • 
  • 
    Jens R. Otterpohl:
    Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints. 1180-1185
• 
  • 
  • 
  • 
  • 
    Alberto Suárez:
    Mixtures of Autoregressive Models for Financial Risk Analysis. 1186-1194

Vision and Image Processing

• 
  • 
  • 
  • 
  • 
    Annalisa Barla, Francesca Odone:
    Kernel-Based 3D Object Representation. 1195-1200
• 
  • 
  • 
  • 
  • 
    Souheila Ghennam, Khier Benmahammed:
    Multiresolution Support for Adaptive Image Restoration Using Neural Networks. 1201-1206
• 
  • 
  • 
  • 
  • 
    Renaud Séguier, David Mercier:
    Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons. 1207-1212
• 
  • 
  • 
  • 
  • 
    Antonio Turiel, Jean-Pierre Nadal, Néstor Parga:
    An Algorithm for Image Representation as Independent Levels of Resolution. 1213-1218
• 
  • 
  • 
  • 
  • 
    Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx, Elena Vicario:
    Circular Back-Propagation Networks for Measuring Displayed Image Quality. 1219-1224
• 
  • 
  • 
  • 
  • 
    Heiko Wersing, Edgar Körner:
    Unsupervised Learning of Combination Features for Hierarchical Recognition Models. 1225-1230
• 
  • 
  • 
  • 
  • 
    Igor N. Aizenberg, Taras Bregin, Constantine Butakoff, Victor N. Karnaukhov, Nickolay S. Merzlyakov, Olga Milukova:
    Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration. 1231-1236
• 
  • 
  • 
  • 
  • 
    Gerriet Backer, Bärbel Mertsching:
    Using Neural Field Dynamics in the Context of Attentional Control. 1237-1242
• 
  • 
  • 
  • 
  • 
    Jens Teichert, Rainer Malaka:
    A Component Association Architecture for Image Understanding. 1243-1248
• 
  • 
  • 
  • 
  • 
    Jonathan D. Owens, Andrew Hunter, Eric Fletcher:
    Novelty Detection in Video Surveillance Using Hierarchical Neural Networks. 1249-1254
• 
  • 
  • 
  • 
  • 
    Wolfgang Stürzl, Ulrich Hoffmann, Hanspeter A. Mallot:
    Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation. 1255-1260
• 
  • 
  • 
  • 
  • 
    Niklas Lüdtke, Richard C. Wilson, Edwin R. Hancock:
    Population Coding of Multiple Edge Orientation. 1261-1267
• 
  • 
  • 
  • 
  • 
    Cyrill Planta, Jörg Conradt, Adrian Jencik, Paul F. M. J. Verschure:
    A Neural Model of the Fly Visual System Applied to Navigational Tasks. 1268-1274
• 
  • 
  • 
  • 
  • 
    Masao Shimomura, Shunji Satoh, Shogo Miyake, Hirotomo Aso:
    A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention. 1275-1280
• 
  • 
  • 
  • 
  • 
    Anna Ceguerra, Irena Koprinska:
    Automatic Fingerprint Verification Using Neural Networks. 1281-1286
• 
  • 
  • 
  • 
  • 
    Shutao Li, James T. Kwok, Yaonan Wang:
    Fusing Images with Multiple Focuses Using Support Vector Machines. 1287-1292
• 
  • 
  • 
  • 
  • 
    Arne Heittmann, Ulrich Ramacher, Daniel Matolin, Jörg Schreiter, René Schüffny:
    An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights. 1293-1298
• 
  • 
  • 
  • 
  • 
    Christophe Foucher, Daniel Le Guennec, Gilles Vaucher:
    Kohonen Maps Applied to Fast Image Vector Quantization. 1299-1304
• 
  • 
  • 
  • 
  • 
    Giuseppe Acciani, Ernesto Chiarantoni, Daniela Girimonte, Cataldo Guaragnella:
    Unsupervised - Neural Network Approach for Efficient Video Description. 1305-1311
• 
  • 
  • 
  • 
  • 
    Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastasios D. Doulamis, Stefanos D. Kollias:
    Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences. 1312-1318
• 
  • 
  • 
  • 
  • 
    Sven Behnke:
    Learning Face Localization Using Hierarchical Recurrent Networks. 1319-1324
• 
  • 
  • 
  • 
  • 
    Ian R. Fasel, Javier R. Movellan:
    A Comparison of Face Detection Algorithms. 1325-1332

Special Session: Adaptivity in Neural Computation

• 
  • 
  • 
  • 
  • 
    Andrea Boni:
    Adaptive Model Selection for Digital Linear Classifiers. 1333-1338
• 
  • 
  • 
  • 
  • 
    Vicente Ruiz de Angulo, Carme Torras:
    Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization. 1339-1344
• 
  • 
  • 
  • 
  • 
    Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
    Automatic Hyperparameter Tuning for Support Vector Machines. 1345-1350
• 
  • 
  • 
  • 
  • 
    Nicol N. Schraudolph, Thore Graepel:
    Conjugate Directions for Stochastic Gradient Descent. 1351-1358

Special Session: Recurrent Neural Systems

• 
  • 
  • 
  • 
  • 
    Peter Tiño, Barbara Hammer:
    Architectural Bias in Recurrent Neural Networks - Fractal Analysis. 1359-1364
• 
  • 
  • 
  • 
  • 
    Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
    Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods. 1365-1370
• 
  • 
  • 
  • 
  • 
    Ricardo Riaza, Pedro J. Zufiria:
    Time-Scaling in Recurrent Neural Learning. 1371-1376

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