6. ICANN 1996: Bochum, Germany
Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff (Eds.): Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, germany, July 16-19, 1996, Proceedings. Springer 1996 Lecture Notes in Computer Science ISBN 3-540-61510-5
Plenary Presentations
- Hermann Kolanoski: Application of Artificial Neural Networks in Particle Physics. 1-14
- Hans-Paul Schwefel: Evolutionary Computation - History, Status, and Perspectives. 15
- Ulrich Ramacher: SEE-1 - A Vision System for Use in Real World Environments. 17
- Peter Fromherz: Towards Integration of Nerve Cells and Silicon Devices. 18
- C. H. Anderson: Unifying Perspectives on Neuronal Codes and Processing. 19
- 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
- Bruce Graham, David J. Willshaw: Information Efficiency of the Associative Net at Arbitrary Coding Rates. 35-40
Theory 2: Learning
- Marcel J. Nijman, Hilbert J. Kappen: Efficient Learning in Sparsely Connected Boltzmann Machines. 41-46
- Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Incorporating Invariances in Support Vector Learning Machines. 47-52
- Aarnoud Hoekstra, Servaes A. Tholen, Robert P. W. Duin: Estimating the Reliability of Neural Network Classifications. 53-58
Theory 3: Generalization 1
- Lucia Sardo, Josef Kittler: Asymptotic Complexity of an RBF NN for Correlated Data Representation. 71-76
Theory 4: Generalization 2
- Sarunas Raudys, Tautvydas Cibas: Regularization by Early Stopping in Single Layer Perceptron Training. 77-82
- Siegfried Bös: Learning Curves of On-line and Off-line Training. 89-94
Theory 5: Collective Dynamics
- Hilbert J. Kappen, Pablo Varona: Dynamic Feature Linking in Stochastic Networks with Short Range Interactions. 101-106
- Ulrich Hillenbrand, J. Leo van Hemmen: Collective Dynamics of a System of Adaptive Velocity Channels. 107-114
Theory 6: Time Series
- Oliver Nelles: Local Linear Model Trees for On-Line Identification of Time-Variant Nonlinear Dynamic Systems. 115-120
- Gustavo Deco, Bernd Schürmann: Nonparametric Data Selection for Improvement of Parametric Neural Learning: A Cumulant-Surrogate Method. 121-126
- Masahiro Kimura, Ryohei Nakano: Learning Dynamical Systems Produced by Recurrent Neural Networks. 133-138
Theory 7: Unsupervised Learning
- Aapo Hyvärinen: Purely Logical Neural Principal Component and Independent Component Learning. 139-144
- Rolf P. Würtz, Wolfgang Konen, Kay-Ole Behrmann: How Fast can Neuronal Algorithms Match Patterns. 145-150
Theory 8: Self-Organizing Maps
- Thomas Hofmann, Joachim M. Buhmann: An Annealed ``Neural Gas'' Network for Robust Vector Quantization. 151-156
- 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
- Alberto Muñoz: Creating Term Associations Using a Hierarchical ART Architecture. 171-177
- Thomas Czernichow: Architecture Selection through Statistical Sensitivity Analysis. 179-184
- P. Daigremont, H. de Lassus, Fouad Badran, Sylvie Thiria: Regression by Topological Map: Application on Real Data. 185-190
Industrial Applications
- 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
- 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
- Joachim Angstenberger: Blast Furnace Analysis with Neural Networks. 203-208
- Philippe Leray, Patrick Gallinari, Elisabeth Didelet: Diagnosis Tools for Telecommunication Network Traffic Management. 209-214
Applications in Robotics
- Jörg Bruske, Michael Hansen, Lars Riehn, Gerald Sommer: Adaptive Saccade Control of a Binocular Head with Dynamic Cell Structures. 215-220
- Cristina Versino, Luca Maria Gambardella: Learing Fine Motion by Using the Hierarchical Extended Kohonen Map. 221-226
Scientific Applications 2
- Jorma Laaksonen, Erkki Oja: Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. 227-232
- Maria Wolters: A Dual Route Neural Net Approach to Grapheme-to-Phoneme Conversion. 233-238
- Matthias Dümpelmann, Christian Erich Elger: Separating EEG Spike-Clusters in Epilepsy by a Growing and Splitting Net. 239-244
Image Processing Applications
- 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
- Hubert Austermeier, Georg Hartmann, Ralf Hilker: Color-Calibration of Robot Vision System Using Self-Organizing Feature Maps. 257-262
Practical Applications
- Gonzalo Acuña, Héctor Jorquera, Ricardo Pérez: Neural Network Model for Maximum Ozone Concentration Prediction. 263-268
- Teuvo Kohonen, Samuel Kaski, Krista Lagus, Timo Honkela: Very Large Two-Level SOM for the Browsing of Newsgroups. 269-274
- Qing Ma, Hitoshi Isahara, Hiromi Ozaku: Automatic Part-of-Speech Tagging of Thai Corpus Using Neural Networks. 275-280
- 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
- Howard Hua Yang, Shun-ichi Amari: Two Gradient Descent Algorithms for Blind Signal Separation. 287-292
- H. de Lassus, P. Daigremont, Fouad Badran, Sylvie Thiria, A. Lecacheux: Classification Rejection by Prediction. 293-298
- 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
- Gunther Heidemann, Franz Kummert, Helge Ritter, Gerhard Sagerer: A Hybrid Object Recognition Architecture. 305-310
- Andreas Bühlmeier, Gerhard Manteuffel, Markus L. Rossmann, Karl Goser: Robot Learning in Analog Neural Hardware. 311-316
- Enno Littmann, Andrea Drees, Helge Ritter: Visual Gesture Recognition by a Modular Neural System. 317-322
- 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
- Kunihiko Fukushima, Yoshio Yamaguchi, Masato Okada: Neural Network Model Recalling Spatial Maps. 329-334
- Martin A. Giese, Gregor Schöner, Howard S. Hock: Neural Field Dynamics for Motion Perception. 335-340
Cognitive Science and AI 2: Symbolic Processing
- Robert E. Callan, Dominic Palmer-Brown: Analytical Technique for Deriving Connectionist Representations of Symbol Structures. 341-346
- Peter Wittenburg, David van Kuijk, Tjeerd Dijkstra: Modling Human Word Recognition with Sequences of Artificial Neurons. 347-352
- Mikael Bodén: A Connectionist Variation of Inheritance. 353-358
Oral Presentations: Implementations
Implementations: Tree-Shaped Architectures
- Pasi Kolinummi, Timo Hämäläinen, Harri Klapuri, Kimmo Kaski: Mapping of Multilayer Perceptron Networks to Partial Tree Shaped Parallel Neurocomputer. 359-364
- Timo Hämäläinen, Pasi Kolinummi, Kimmo Kaski: Linearly Expandable Partial Tree Shape Architecture for Parallel Neurocomputer. 365-370
Implementations: Dynamic and Massively Parallel Networks
- Andreas Demosthenous, John Taylor, Sean Smedley: A High-Speed Scalable CMOS Current-Mode Winner-Take-All Network. 371-376
- Martin Franz, René Schüffny: An Architectural Study of a Massively Parallel Processor for Convolution-Type Operations in Complex Vision Tasks. 377-382
- Andrés Pérez-Uribe, Eduardo Sanchez: FPGA Implementation of an Adaptable-Size Neural Network. 383-388
Oral Presentations: Neurobiology
Neurobiology 1: Information Coding
- Dario Floreano: Extraction of Coherent Information from Non-Overlapping Receptive Fields. 389-394
- 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
- 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
- Klaus Pawelzik, Hans-Ulrich Bauer, Fred Wolf, Theo Geisel: Precise Restoration of Cortical Orientation Maps Explained by Hebbian Dynamics of Geniculocortical Connections. 415-419
- 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
- Christian Piepenbrock, Helge Ritter, Klaus Obermayer: Cortical Map Development Driven by Spontaneous Retinal Activity Waves. 427-432
Neurobiology 3: Motor Control
- 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
- Andreas Schierwagen, Herrad Werner: Saccade Control through the Collicular Motor Map: Two-Dimensional Neural Field Model. 439-444
Neurobiology 4: Temporal Processing
- Misha Tsodyks, Henry Markram: Plasticity of Neocortical Synapses Enables Transitions between Rate and Temporal Coding. 445-450
- Claudio M. Privitera, Lokendra Shastri: Temporal Compositional Processing by a DSOM Hierarchical Model. 457-462
Poster Presentations 1
Theory 1: Associative Memory
- Alberto Bertoni, Paola Campadelli, Marco Carpentieri, Giuliano Grossi: A Genetic Model and the Hopfield Networks. 463-468
- Dmitry O. Gorodnichy: Desaturating Coefficient for Projection Learning Rule. 469-476
- Gunnar Sjödin: Getting More Information out of SDM. 477-482
Theory 2: Learning
- Colin McCormack: Using a General Purpose Meta Neural Network to Adapt a Parameter of the Quickpropagation Learning Rule. 483-488
- Martin Schmidt: A Unification of Genetic Algorithms, Neural Networks an Fuzzy Logic: The GANNFL Approach. 495-500
- Marco Muselli: Optimality of Pocket Algorithm. 507-512
- Bernd Freisleben, Claudia Hagen: A Hierarchical Learning Rule for Independent Component Analysis. 252-530
Theory 3: Generalization
- József Bíró, Edith Halász, Tibor Trón, Miklós Boda, Gábor Privitzky: Neural Networks for Exact Constrained Optimization. 537-542
- Sabine Kröner, Reinhard Moratz: Capacity of Structured Multilayer Networks with Shared Weights. 543-550
- Siegfried Bös: Optimal Weight Decay in a Perceptron. 551-556
- Carlos Santa Cruz, José R. Dorronsoro: A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction. 563-568
- Christopher Browne, Joel de L. Pereira Castro Jr., Amos J. Storkey: A Modified Spreading Algorithm for Autoassociation in Weightless Neural Networks. 569-574
Scientific Applications
- Stefan Schünemann, Bernd Michaelis, Walter Schubert: Analysis of Multi-Fluorescence Signals Using a Modified Self-Organizing Feature Map. 575-580
- Monika Köhle, Dieter Merkl: Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural Network. 581-586
- Sonia Garcia-Salicetti: A Neural Lexical Post-Processor for Improved Neural Predictive Word Recognition. 587-592
- Miguel Ayala Botto, Hubert A. B. te Braake, José Sá da Costa: Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural Networks. 593-598
- Yann Guermeur, Patrick Gallinari: Combining Statistical Models for Protein Secondary Structure Prediction. 599-604
Applications in Robotics and Industry
- Tom Ziemke: Towards Autonomous Robot Control via Self-Adapting Recurrent Networks. 611-616
- Eric Maël: A Hierarchial Network for Learning Robust Models of Kinematic Chains. 617-622
- Ken Yasuhara, Hanspeter A. Mallot: Context-Based Cognitive Map Learning for an Autonomous Robot Using a Model of Cortico-Hippocampal Interplay. 623-628
- Stefan Zadel: An Algorithm for Bootstrapping the Core of a Biologically Inspired Motor Control System. 629-634
- 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
- Dirk Jancke, Amir C. Akhavan, Wolfram Erlhagen, Martin A. Giese, Axel Steinhage, Gregor Schöner, Hubert R. Dinse: Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model. 641-648
- Lokeshvar N. Kalia: An Analysis and Interpretation of the Oscillatory Behavior of a Model of the Granular Layer of the Cerebellum. 655-660
Neurobiology 2: Cortex
- Daniel Durstewitz, Onur Güntürkün: The Possible Function of Dopamine in Associative Learning: A Computational Model. 667-672
- Alexa Riehle, Sonja Grün, Ad Aertsen, Jean Requin: Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex. 673-678
- T. Wesarg, B. Brückner, Carsten Schauer: Modelling Speech Processing and Recognition in the Auditory System with a Three-Stage Architecture. 679-684
Neurobiology 3: Single Cell/Learning Rules
- Michael Ohme, Andreas Schierwagen: A Reduced Model for Dendritic Trees with Active Membrane. 691-696
- Stephane Tavitian, Tibor Fomin, András Lörincz: Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation. 697-702
- Gilles Vaucher: Neuro-Biological Bases for Spatio-Temporal Data Coding in Artificial Neural Networks. 703-708
- 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
- Thomas Vetter: Learning Novel Views to a Single Face Image. 715-719
- Jens Vogelgesang, Alex Cozzi, Florentin Wörgötter: A Parallel Algorithm Depth Perception from Radial Optical Flow Fields. 721-725
- Wolfgang Konen: Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS. 727-734
- Antonella Branca, Gabriella Convertino, Ettore Stella, Arcangelo Distante: Geometrically Constrained Optical Flow Estimation by a Hopfield Neural Network. 735-740
Implementations
- Sorin Cotofana, Stamatis Vassiliadis: Serial Binary Addition with Polynominally Bounded Weights. 741-746
- Bertrand Granado, Patrick Garda: Evaluation of the Two Different Interconnection Networks of the CNAPS Neurocomputer. 747-753
- Nicolas Pican: Intrinsic and Parallel Performances of the OWE Neural Network Architecture. 755-760
- Massimo Conti, G. Guaitini, Claudio Turchetti: An Analog CMOS Neural Network with On-Chip Learning and Multilevel Weight Storage. 761-766
- 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
- Christian Schittenkopf, Gustavo Deco: An Information Theoretic Measure for the Classification of Time Series. 773-778
- Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik: Analysis of Drifting Dynamics with Competing Predictors. 785-790
- 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
- Petteri Pajunen: Nonlinear Independent Component Analysis by Self-Organizing Maps. 815-820
- Ralf Der, Gerd Balzuweit, J. Michael Herrmann: Building Nonlinear Data Models with Self-Organizing Maps. 821-826
- J. S. Lange, H. Freiesleben: A Parameter-Free Non-Growing Self-Organizing Map Based upon Gravitational Principles: Algorithm and Applications. 827-832
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
- Jacques Ludik, Dan J. Stein: Neural Modelling of Cognitive Disinhibition and Neurotransmitter Dysfunction in OCD. 893-898
- Thomas Crämer, Josef Göppert, Wolfgang Rosenstiel: Modeling Psychological Stereotypes in Self-Organizing Maps. 905-910
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