6. ICANN 1996: Bochum, Germany

Plenary Presentations

• Hermann Kolanoski:
  Application of Artificial Neural Networks in Particle Physics. 1-14
  
• Hans-Paul Schwefel:
  Evolutionary Computation - History, Status, and Perspectives. 15
  
• Moshe Abeles, Y. Prut:
  Temporal Structure of Cortical Activity. 16
  
• 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

• Han-Bing Ji, Kwong-Sak Leung, Yee Leung:
  A Novel Encoding Strategy for Associative Memory. 21-27
  
• Paulo J. L. Adeodato, John G. Taylor:
  Autoassociative Memory with high Storage Capacity. 29-34
  
• 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
  
• Christopher M. Bishop, Cazhaow S. Quazaz:
  Bayesian Inference of Noise Levels in Regression. 59-64
  

Theory 3: Generalization 1

• Ari Hämäläinen, Lasse Holmström:
  Complexity Reduction in Probabilistic Neural Networks. 65-70
  
• 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
  
• Stefan M. Rüger, Arnfried Ossen:
  Clustering in Weight Space of Feedforward Nets. 83-88
  
• Siegfried Bös:
  Learning Curves of On-line and Off-line Training. 89-94
  

Theory 5: Collective Dynamics

• David M. J. Tax, Hilbert J. Kappen:
  Learning Structure with Many-Take-All Networks. 95-100
  
• 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
  
• Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen:
  Prediction of Mixtures. 127-132
  
• 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
  
• Jörg A. Walter, Helge Ritter:
  Associative Completion and Investment Learning Using PSOMs. 157-164
  
• 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

• Kimmo Valkealahti, Erkki Oja:
  Optimal Texture Feature Selection for the Co-Occurrence Map. 245-250
  
• 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
  
• Michael Brecht, Andreas K. Engel:
  Cortio-Tectal Interactions in the Cat Visual System. 395-399
  
• 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
  
• Thomas Wennekers, Günther Palm:
  Controlling the Speed of Synfire Chains. 451-456
  
• 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
  
• Fa-Long Luo, Rolf Unbehauen:
  Unsupervised Learning of the Minor Subspace. 489-494
  
• Martin Schmidt:
  A Unification of Genetic Algorithms, Neural Networks an Fuzzy Logic: The GANNFL Approach. 495-500
  
• Martina Hasenjäger, Helge Ritter:
  Active Learning of the Generalized High-Low Game. 501-506
  
• Marco Muselli:
  Optimality of Pocket Algorithm. 507-512
  
• Steven Young, Tom Downs:
  Improvements and Extensions to the Constructive Algorithm CARVE. 513-518
  
• Ken-ichi Arai, Ryohei Nakano:
  Annealed RNN Learning of Finite State Automata. 519-524
  
• Bernd Freisleben, Claudia Hagen:
  A Hierarchical Learning Rule for Independent Component Analysis. 252-530
  
• Guian Zhou, Jennie Si:
  Improving Neural Network Training Based on Jacobian Rank Deficiency. 531-536
  

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
  
• James Tin-Yau Kwok, Dit-Yan Yeung:
  Bayesian Regularization in Constructive Neural Networks. 557-562
  
• 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

• Ulf Pietruschka, Rüdiger W. Brause:
  Using RBF-Nets in Rubber Industry Process Control. 605-610
  
• 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
  
• Francesco Frisone, Pietro Morasso:
  Representing Multidimensional Stimuli on the Cortex. 649-654
  
• Lokeshvar N. Kalia:
  An Analysis and Interpretation of the Oscillatory Behavior of a Model of the Granular Layer of the Cerebellum. 655-660
  
• Franz Mechsner, Günther Palm:
  The Cerebellum as a ``Coupling Machine''. 661-666
  

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
  
• Jochen Triesch, Christoph von der Malsburg:
  Binding - A Proposed Experiment and a Model. 685-690
  

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
• Rainer Malaka, Jörg Berdux:
  Transformation of Neural Oscillators. 779-784
  
• 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

• 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, 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
  
• 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
  

Last update Sat May 18 18:39:15 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page