default search action
6. ICANN 1996: Bochum, Germany
- 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
- Hermann Kolanoski:
Application of Artificial Neural Networks in Particle Physics. 1-14 - Hans-Paul Schwefel:
Evolutionary Computation - History, Status, and Perspectives. 15 - Moshe Abeles, Yifat 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
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 J. 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, Hubert 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
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
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
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
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
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 - Hubert 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 J. 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 J. 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
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
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
Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns. 421-426 - Christian Piepenbrock, Helge J. 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
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
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
Annealed RNN Learning of Finite State Automata. 519-524 - Bernd Freisleben
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 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
- 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
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
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 Nath 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, Bernd 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
Geometrically Constrained Optical Flow Estimation by a Hopfield Neural Network. 735-740
Implementations
- Sorin Cotofana
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
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
Transformation of Neural Oscillators. 779-784 - Jens Kohlmorgen, Klaus-Robert Müller
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, Michael Herrmann:
Building Nonlinear Data Models with Self-Organizing Maps. 821-826 - J. S. Lange
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-21 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: