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6. ICANN 1996: Bochum, Germany

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  • Plenary Presentations
  • Oral Presentations: Theory
  • Oral Presentations: Applications
  • Oral Presentations: Sensory Processing
  • Oral Presentations: Cognitive Science and AI
  • Oral Presentations: Implementations
  • Oral Presentations: Neurobiology
  • Poster Presentations 1
  • Poster Presentations 2
  • Poster Presentations 3

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    Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff:
    Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, Germany, July 16-19, 1996, Proceedings. Lecture Notes in Computer Science 1112, Springer 1996, ISBN 3-540-61510-5

Plenary Presentations

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    Hermann Kolanoski:
    Application of Artificial Neural Networks in Particle Physics. 1-14
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    Hans-Paul Schwefel:
    Evolutionary Computation - History, Status, and Perspectives. 15
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    Moshe Abeles, Yifat Prut:
    Temporal Structure of Cortical Activity. 16
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    Ulrich Ramacher:
    SEE-1 - A Vision System for Use in Real World Environments. 17
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    Peter Fromherz:
    Towards Integration of Nerve Cells and Silicon Devices. 18
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    C. H. Anderson:
    Unifying Perspectives on Neuronal Codes and Processing. 19
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    David I. Perrett:
    Visual Recognition Based on Coding in Temporal Cortex: Analysis of Pattern Configuration and Generalisation across Viewing Conditions without Mental Rotation. 20

Oral Presentations: Theory

Theory 1: Associative Memory

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    Han-Bing Ji, Kwong-Sak Leung, Yee Leung:
    A Novel Encoding Strategy for Associative Memory. 21-27
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    Paulo J. L. Adeodato, John G. Taylor:
    Autoassociative Memory with high Storage Capacity. 29-34
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    Bruce Graham, David J. Willshaw:
    Information Efficiency of the Associative Net at Arbitrary Coding Rates. 35-40

Theory 2: Learning

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    Marcel J. Nijman, Hilbert J. Kappen:
    Efficient Learning in Sparsely Connected Boltzmann Machines. 41-46
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    Bernhard Schölkopf, Chris Burges, Vladimir Vapnik:
    Incorporating Invariances in Support Vector Learning Machines. 47-52
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    Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin:
    Estimating the Reliability of Neural Network Classifications. 53-58
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    Christopher M. Bishop, Cazhaow S. Quazaz:
    Bayesian Inference of Noise Levels in Regression. 59-64

Theory 3: Generalization 1

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    Ari Hämäläinen, Lasse Holmström:
    Complexity Reduction in Probabilistic Neural Networks. 65-70
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    Lucia Sardo, Josef Kittler:
    Asymptotic Complexity of an RBF NN for Correlated Data Representation. 71-76

Theory 4: Generalization 2

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    Sarunas Raudys, Tautvydas Cibas:
    Regularization by Early Stopping in Single Layer Perceptron Training. 77-82
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    Stefan M. Rüger, Arnfried Ossen:
    Clustering in Weight Space of Feedforward Nets. 83-88
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    Siegfried Bös:
    Learning Curves of On-line and Off-line Training. 89-94

Theory 5: Collective Dynamics

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    David M. J. Tax, Hilbert J. Kappen:
    Learning Structure with Many-Take-All Networks. 95-100
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    Hilbert J. Kappen, Pablo Varona:
    Dynamic Feature Linking in Stochastic Networks with Short Range Interactions. 101-106
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    Ulrich Hillenbrand, J. Leo van Hemmen:
    Collective Dynamics of a System of Adaptive Velocity Channels. 107-114

Theory 6: Time Series

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    Oliver Nelles:
    Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic Systems. 115-120
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    Gustavo Deco, Bernd Schürmann:
    Nonparametric Data Selection for Improvement of Parametric Neural Learning: A Cumulant-Surrogate Method. 121-126
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    Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen:
    Prediction of Mixtures. 127-132
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    Masahiro Kimura, Ryohei Nakano:
    Learning Dynamical Systems Produced by Recurrent Neural Networks. 133-138

Theory 7: Unsupervised Learning

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    Aapo Hyvärinen:
    Purely Logical Neural Principal Component and Independent Component Learning. 139-144
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    Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann:
    How Fast can Neuronal Algorithms Match Patterns. 145-150

Theory 8: Self-Organizing Maps

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    Thomas Hofmann, Joachim M. Buhmann:
    An Annealed "Neural Gas" Network for Robust Vector Quantization. 151-156
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    Jörg A. Walter, Helge J. Ritter:
    Associative Completion and Investment Learning Using PSOMs. 157-164
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    Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams:
    GTM: A Principled Alternative to the Self-Organizing Map. 165-170

Oral Presentations: Applications

Scientific Applications 1

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    Alberto Muñoz:
    Creating Term Associations Using a Hierarchical ART Architecture. 171-177
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    Thomas Czernichow:
    Architecture Selection through Statistical Sensitivity Analysis. 179-184
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    P. Daigremont, Hubert de Lassus, Fouad Badran, Sylvie Thiria:
    Regression by Topological Map: Application on Real Data. 185-190

Industrial Applications

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    Kenneth A. Marko, John V. James, Timothy M. Feldkamp, Gintaras V. Puskorius, Lee A. Feldkamp:
    Signal Processing by Neural Networks to Create "Virtual" Sensors and Model-Based Diagnostics. 191-196
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    R. M. L. Frenken, C. M. Rozendaal, H. E. Dijk, P. C. Knöster:
    Development of an Advisory System Based on a Neural Network for the Operation of a Coal Fired Power Plant. 197-202
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    Joachim Angstenberger:
    Blast Furnace Analysis with Neural Networks. 203-208
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    Philippe Leray, Patrick Gallinari, Elisabeth Didelet:
    Diagnosis Tools for Telecommunication Network Traffic Management. 209-214

Applications in Robotics

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    Jörg Bruske, Michael Hansen, Lars Riehn, Gerald Sommer:
    Adaptive Saccade Control of a Binocular Head with Dynamic Cell Structures. 215-220
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    Cristina Versino, Luca Maria Gambardella:
    Learing Fine Motion by Using the Hierarchical Extended Kohonen Map. 221-226

Scientific Applications 2

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    Jorma Laaksonen, Erkki Oja:
    Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. 227-232
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    Maria Wolters:
    A Dual Route Neural Net Approach to Grapheme-to-Phoneme Conversion. 233-238
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    Matthias Dümpelmann, Christian Erich Elger:
    Separating EEG Spike-Clusters in Epilepsy by a Growing and Splitting Net. 239-244

Image Processing Applications

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    Kimmo Valkealahti, Erkki Oja:
    Optimal Texture Feature Selection for the Co-Occurrence Map. 245-250
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    Volker Blanz, Bernhard Schölkopf, Heinrich H. Bülthoff, Chris Burges, Vladimir Vapnik, Thomas Vetter:
    Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models. 251-256
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    Hubert Austermeier, Georg Hartmann, Ralf Hilker:
    Color-Calibration of Robot Vision System Using Self-Organizing Feature Maps. 257-262

Practical Applications

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    Gonzalo Acuña, Héctor Jorquera, Ricardo Pérez:
    Neural Network Model for Maximum Ozone Concentration Prediction. 263-268
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    Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela:
    Very Large Two-Level SOM for the Browsing of Newsgroups. 269-274
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    Qing Ma, Hitoshi Isahara, Hiromi Ozaku:
    Automatic Part-of-Speech Tagging of Thai Corpus Using Neural Networks. 275-280
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    Gavin C. Cawley, Stephen R. Dorling:
    Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network. 281-286

Oral Presentations: Sensory Processing

Sensory Processing 1: Classification

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    Howard Hua Yang, Shun-ichi Amari:
    Two Gradient Descent Algorithms for Blind Signal Separation. 287-292
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    Hubert de Lassus, P. Daigremont, Fouad Badran, Sylvie Thiria, A. Lecacheux:
    Classification Rejection by Prediction. 293-298
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    Dong-Hyun Lee, John S. Payne, Hyung-Gi Byun, Krishna C. Persaud:
    Application of Radial Basis Function Neural Networks to Odour Sensing Using a Broad Specifity Array of Conducting Polymers. 299-304

Sensory Processing 2: Object Recognition

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    Gunther Heidemann, Franz Kummert, Helge J. Ritter, Gerhard Sagerer:
    A Hybrid Object Recognition Architecture. 305-310
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    Andreas Bühlmeier, Gerhard Manteuffel, Markus L. Rossmann, Karl Goser:
    Robot Learning in Analog Neural Hardware. 311-316
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    Enno Littmann, Andrea Drees, Helge J. Ritter:
    Visual Gesture Recognition by a Modular Neural System. 317-322
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    Thomas Maurer, Christoph von der Malsburg:
    Tracking and Learning Graphs on Image Sequences of Faces. 323-328

Oral Presentations: Cognitive Science and AI

Cognitive Science and AI 1: Perceptual Organization

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    Kunihiko Fukushima, Yoshio Yamaguchi, Masato Okada:
    Neural Network Model Recalling Spatial Maps. 329-334
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    Martin A. Giese, Gregor Schöner, Howard S. Hock:
    Neural Field Dynamics for Motion Perception. 335-340

Cognitive Science and AI 2: Symbolic Processing

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    Robert E. Callan, Dominic Palmer-Brown:
    Analytical Technique for Deriving Connectionist Representations of Symbol Structures. 341-346
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    Peter Wittenburg, David van Kuijk, Tjeerd Dijkstra:
    Modling Human Word Recognition with Sequences of Artificial Neurons. 347-352
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    Mikael Bodén:
    A Connectionist Variation of Inheritance. 353-358

Oral Presentations: Implementations

Implementations: Tree-Shaped Architectures

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    Pasi Kolinummi, Timo Hämäläinen, Harri Klapuri, Kimmo Kaski:
    Mapping of Multilayer Perceptron Networks to Partial Tree Shaped Parallel Neurocomputer. 359-364
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    Timo Hämäläinen, Pasi Kolinummi, Kimmo Kaski:
    Linearly Expandable Partial Tree Shape Architecture for Parallel Neurocomputer. 365-370

Implementations: Dynamic and Massively Parallel Networks

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    Andreas Demosthenous, John Taylor, Sean Smedley:
    A High-Speed Scalable CMOS Current-Mode Winner-Take-All Network. 371-376
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    Martin Franz, René Schüffny:
    An Architectural Study of a Massively Parallel Processor for Convolution-Type Operations in Complex Vision Tasks. 377-382
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    Andrés Pérez-Uribe, Eduardo Sanchez:
    FPGA Implementation of an Adaptable-Size Neural Network. 383-388

Oral Presentations: Neurobiology

Neurobiology 1: Information Coding

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    Dario Floreano:
    Extraction of Coherent Information from Non-Overlapping Receptive Fields. 389-394
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    Michael Brecht, Andreas K. Engel:
    Cortio-Tectal Interactions in the Cat Visual System. 395-399
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    Laura Martignon, Kathryn B. Laskey, Arne Schwarz, Eilon Vaadia:
    Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian Approach. 401-407

Neurobiology 2: Cortical Maps

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    Maximilian Riesenhuber, Hans-Ulrich Bauer, Theo Geisel:
    Analyzing the Formation of Structure in High-Dimensional Self-Organizing Maps Reveals Differences to Feature Map Models. 409-414
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    Klaus Pawelzik, Hans-Ulrich Bauer, Fred Wolf, Theo Geisel:
    Precise Restoration of Cortical Orientation Maps Explained by Hebbian Dynamics of Geniculocortical Connections. 415-419
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    Marianne Andres, Oliver Schlüter, Friederike Spengler, Hubert R. Dinse:
    Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns. 421-426
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    Christian Piepenbrock, Helge J. Ritter, Klaus Obermayer:
    Cortical Map Development Driven by Spontaneous Retinal Activity Waves. 427-432

Neurobiology 3: Motor Control

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    Holk Cruse, Christian Bartling, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, Michael Schumm, Hendrik Wagner:
    Simplifying Neural Networks for Controlling Walking by Exploiting Physical Properties. 433-438
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    Andreas Schierwagen, Herrad Werner:
    Saccade Control through the Collicular Motor Map: Two-Dimensional Neural Field Model. 439-444

Neurobiology 4: Temporal Processing

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    Misha Tsodyks, Henry Markram:
    Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding. 445-450
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    Thomas Wennekers, Günther Palm:
    Controlling the Speed of Synfire Chains. 451-456
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    Claudio M. Privitera, Lokendra Shastri:
    Temporal Compositional Processing by a DSOM Hierarchical Model. 457-462

Poster Presentations 1

Theory 1: Associative Memory

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    Alberto Bertoni, Paola Campadelli, Marco Carpentieri, Giuliano Grossi:
    A Genetic Model and the Hopfield Networks. 463-468
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    Dmitry O. Gorodnichy:
    Desaturating Coefficient for Projection Learning Rule. 469-476
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    Gunnar Sjödin:
    Getting More Information out of SDM. 477-482

Theory 2: Learning

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    Colin McCormack:
    Using a General Purpose Meta Neural Network to Adapt a Parameter of the Quickpropagation Learning Rule. 483-488
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    Fa-Long Luo, Rolf Unbehauen:
    Unsupervised Learning of the Minor Subspace. 489-494
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    Martin Schmidt:
    A Unification of Genetic Algorithms, Neural Networks an Fuzzy Logic: The GANNFL Approach. 495-500
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    Martina Hasenjäger, Helge J. Ritter:
    Active Learning of the Generalized High-Low Game. 501-506
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    Marco Muselli:
    Optimality of Pocket Algorithm. 507-512
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    Steven Young, Tom Downs:
    Improvements and Extensions to the Constructive Algorithm CARVE. 513-518
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    Ken-ichi Arai, Ryohei Nakano:
    Annealed RNN Learning of Finite State Automata. 519-524
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    Bernd Freisleben, Claudia Hagen:
    A Hierarchical Learning Rule for Independent Component Analysis. 252-530
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    Guian Zhou, Jennie Si:
    Improving Neural Network Training Based on Jacobian Rank Deficiency. 531-536

Theory 3: Generalization

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    József Bíró, Edith Halász, Tibor Trón, Miklós Boda, Gábor Privitzky:
    Neural Networks for Exact Constrained Optimization. 537-542
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    Sabine Kröner, Reinhard Moratz:
    Capacity of Structured Multilayer Networks with Shared Weights. 543-550
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    Siegfried Bös:
    Optimal Weight Decay in a Perceptron. 551-556
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    James Tin-Yau Kwok, Dit-Yan Yeung:
    Bayesian Regularization in Constructive Neural Networks. 557-562
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    Carlos Santa Cruz, José R. Dorronsoro:
    A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction. 563-568
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    Christopher John Browne, Joel de L. Pereira Castro Jr., Amos J. Storkey:
    A Modified Spreading Algorithm for Autoassociation in Weightless Neural Networks. 569-574

Scientific Applications

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    Stefan Schünemann, Bernd Michaelis, Walter Schubert:
    Analysis of Multi-Fluorescence Signals Using a Modified Self-Organizing Feature Map. 575-580
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    Monika Köhle, Dieter Merkl:
    Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural Network. 581-586
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    Sonia Garcia-Salicetti:
    A Neural Lexical Post-Processor for Improved Neural Predictive Word Recognition. 587-592
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    Miguel Ayala Botto, Hubert A. B. te Braake, José M. G. Sá da Costa:
    Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural Networks. 593-598
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    Yann Guermeur, Patrick Gallinari:
    Combining Statistical Models for Protein Secondary Structure Prediction. 599-604

Applications in Robotics and Industry

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    Ulf Pietruschka, Rüdiger W. Brause:
    Using RBF-Nets in Rubber Industry Process Control. 605-610
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    Tom Ziemke:
    Towards Autonomous Robot Control via Self-Adapting Recurrent Networks. 611-616
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    Eric Maël:
    A Hierarchial Network for Learning Robust Models of Kinematic Chains. 617-622
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    Ken Yasuhara, Hanspeter A. Mallot:
    Context-Based Cognitive Map Learning for an Autonomous Robot Using a Model of Cortico-Hippocampal Interplay. 623-628
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    Stefan Zadel:
    An Algorithm for Bootstrapping the Core of a Biologically Inspired Motor Control System. 629-634
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    Vicente Ruiz de Angulo, Carme Torras:
    Automatic Recalibration of a Space Robot: An Industrial Prototype. 635-640

Poster Presentations 2

Neurobiology 1: Visual Cortex/Cerebellum

Neurobiology 2: Cortex

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    Daniel Durstewitz, Onur Güntürkün:
    The Possible Function of Dopamine in Associative Learning: A Computational Model. 667-672
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    Alexa Riehle, Sonja Grün, Ad Aertsen, Jean Requin:
    Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex. 673-678
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    T. Wesarg, Bernd Brückner, Carsten Schauer:
    Modelling Speech Processing and Recognition in the Auditory System with a Three-Stage Architecture. 679-684
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    Jochen Triesch, Christoph von der Malsburg:
    Binding - A Proposed Experiment and a Model. 685-690

Neurobiology 3: Single Cell/Learning Rules

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    Michael Ohme, Andreas Schierwagen:
    A Reduced Model for Dendritic Trees with Active Membrane. 691-696
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    Stephane Tavitian, Tibor Fomin, András Lörincz:
    Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation. 697-702
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    Gilles Vaucher:
    Neuro-Biological Bases for Spatio-Temporal Data Coding in Artificial Neural Networks. 703-708
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    Minoru Tsukada, Takeshi Aihara, Hide-aki Saito, Hiroshi Kato:
    A Spatio-Temporal Learning Rule Based on the Physiological Data of LTP Induction in the Hippocampal CA1 Network. 709-714

Image Processing Applications

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    Thomas Vetter:
    Learning Novel Views to a Single Face Image. 715-719
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    Jens Vogelgesang, Alex Cozzi, Florentin Wörgötter:
    A Parallel Algorithm Depth Perception from Radial Optical Flow Fields. 721-725
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    Wolfgang Konen:
    Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS. 727-734
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    Antonella Branca, Gabriella Convertino, Ettore Stella, Arcangelo Distante:
    Geometrically Constrained Optical Flow Estimation by a Hopfield Neural Network. 735-740

Implementations

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    Sorin Cotofana, Stamatis Vassiliadis:
    Serial Binary Addition with Polynominally Bounded Weights. 741-746
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    Bertrand Granado, Patrick Garda:
    Evaluation of the Two Different Interconnection Networks of the CNAPS Neurocomputer. 747-753
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    Nicolas Pican:
    Intrinsic and Parallel Performances of the OWE Neural Network Architecture. 755-760
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    Massimo Conti, Giovanni Guaitini, Claudio Turchetti:
    An Analog CMOS Neural Network with On-Chip Learning and Multilevel Weight Storage. 761-766
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    Markus L. Rossmann, T. Jost, Karl Goser, Andreas Bühlmeier, Gerhard Manteuffel:
    Exponential Hebbian On-Line Learning Implemented in FPGAs. 767-772

Poster Presentations 3

Theory 4: Collective Dynamics and Time Series

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    Christian Schittenkopf, Gustavo Deco:
    An Information Theoretic Measure for the Classification of Time Series. 773-778
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    Rainer Malaka, Jörg Berdux:
    Transformation of Neural Oscillators. 779-784
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    Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik:
    Analysis of Drifting Dynamics with Competing Predictors. 785-790
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    Csaba Szepesvári, András Lörincz:
    Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers. 791-796
• 
  • 
  • 
  • 
  • 
    Hiroaki Kurokawa, Shinsaku Mori:
    A Local Connected Neural Oscillator Network for Pattern Segmentation. 797-802
• 
  • 
  • 
  • 
  • 
    Binfan Liu, Jennie Si:
    Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks. 803-808

Theory 5: Self-Organizing Maps

• 
  • 
  • 
  • 
  • 
    Samuel Kaski, Krista Lagus:
    Comparing Self-Organizing Maps. 809-814
• 
  • 
  • 
  • 
  • 
    Petteri Pajunen:
    Nonlinear Independent Component Analysis by Self-Organizing Maps. 815-820
• 
  • 
  • 
  • 
  • 
    Ralf Der, Gerd Balzuweit, Michael Herrmann:
    Building Nonlinear Data Models with Self-Organizing Maps. 821-826
• 
  • 
  • 
  • 
  • 
    Jens Sören Lange, H. Freiesleben:
    A Parameter-Free Non-Growing Self-Organizing Map Based upon Gravitational Principles: Algorithm and Applications. 827-832
• 
  • 
  • 
  • 
  • 
    Fatiha Anouar, Fouad Badran, Sylvie Thiria:
    Topological Maps for Mixture Densities. 833-838

Sensory Processing

• 
  • 
  • 
  • 
  • 
    Ralf Opara, Florentin Wörgötter:
    A Novel Algorithm for Image Segmentation Using Time Dependent Interaction Probabilities. 839-843
• 
  • 
  • 
  • 
  • 
    Michael Pötzsch, Thomas Maurer, Laurenz Wiskott, Christoph von der Malsburg:
    Reconstruction from Graphs Labeled with Responses of Gabor Filters. 845-850
• 
  • 
  • 
  • 
  • 
    O. Rehse, Michael Pötzsch, Christoph von der Malsburg:
    Edge Information: A Confidence Based Algorithm Emphazising Continuous Curves. 851-856
• 
  • 
  • 
  • 
  • 
    Heiko Neumann, Petra Mössner:
    Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping. 857-862
• 
  • 
  • 
  • 
  • 
    Fabio Vignoli, Sergio Curinga, Fabio Lavagetto:
    A Neural Clustering Algorithm for Estimating Visible Articulatory Trajectory. 863-868

Cognitive Science and AI

• 
  • 
  • 
  • 
  • 
    Pentti Kanerva:
    Binary Spatter-Coding of Ordered K-Tuples. 869-873
• 
  • 
  • 
  • 
  • 
    Christel Kemke:
    A Hybrid Approach to Natural Language Parsing. 875-880
• 
  • 
  • 
  • 
  • 
    Kay Behnke, Peter Wittenburg:
    A Self-Organizing Neural Network Approach for the Acquisition of Phonetic Categories. 881-886
• 
  • 
  • 
  • 
  • 
    Sylvie Wacquant, Frank Joublin:
    Inward Relearning: A Step Towards Long-Term Memory. 887-892
• 
  • 
  • 
  • 
  • 
    Jacques Ludik, Dan J. Stein:
    Neural Modelling of Cognitive Disinhibition and Neurotransmitter Dysfunction in OCD. 893-898
• 
  • 
  • 
  • 
  • 
    Edward Kei Shiu Ho, Lai-Wan Chan:
    Confluent Preorder Parser as Finite State Automata. 899-904
• 
  • 
  • 
  • 
  • 
    Thomas Crämer, Josef Göppert, Wolfgang Rosenstiel:
    Modeling Psychological Stereotypes in Self-Organizing Maps. 905-910

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