Information Geometrical Methods for Neural Networks

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Bias Learning, Knowledge Sharing (Abstract)

Joumana Ghosn, Universit? de Montr?al

Yoshua Bengio, Universit? de Montr?al

pp. 1009

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Incremental Active Learning with Bias Reduction (Abstract)

Masashi Sugiyama, Tokyo Institute of Technology

Hidemitsu Ogawa, Tokyo Institute of Technology

pp. 1015

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Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation (Abstract)

G.D. Magoulas, University of Athens and University of Patras

V.P. Plagianakos, University of Patras

M.N. Vrahatis, University of Patras

pp. 1021

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Predicting the Generalization Ability of Neural Networks Resembling the Nearest-Neighbor Algorithm (Abstract)

Marco Muselli, Consiglio Nazionale delle Ricerche

pp. 1027

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Session MB2: Special Session on 'Global Brain'

A General Framework for the Functions of the Brain (Abstract)

J.G. Taylor, King's College

pp. 1035

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The Frontal Lobes and Executive Function (Abstract)

J.G. Taylor, King's College

N.R. Taylor, King's College

R. Bapi, Kawato Dynamic Brain Project

G. Bugmann, University of Plymouth

D. Levine, University of Texas at Arlington

pp. 1041

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A Modular Neural System for Machine Cognition (Abstract)

Pentti O A Haikonen, Nokia Research Center

pp. 1047

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Session MB3: System Identification I

Model Structure Selection for Nonlinear System Identification Using Feedforward Neural Networks (Abstract)

Ivan Petrovic, University of Zagreb

Mato Baotic, University of Zagreb

Nedjelko Peric, University of Zagreb

pp. 1053

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A Neurofuzzy Scheme for On-Line Identification of Non-Linear Dynamical Systems with Variable Transfer Function (Abstract)

M. Pinzolas, Universidad Polit?cnica de Cartagena

J.J. Ibarrola, Universidad Polit?cnica de Cartagena

J. Lopez, Universidad Polit?cnica de Cartagena

pp. 1058

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Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks (Abstract)

C. Kambhampati, University of Reading

F. Garces, University of Reading

K. Warwick, University of Reading

pp. 1064

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Approximation of Hammerstein/Wiener Dynamic Models (Abstract)

Aldo Balestrino, University of Pisa

Andrea Caiti, University of Siena

pp. 1070

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Modeling Unstable Behavior of a Natural Circulation Loop with a Neural Network (Abstract)

A. Fichera, Universit? degli Studi di Catania

G. Muscato, Universit? degli Studi di Catania

M. G. Xibilia, Universit? degli Studi di Catania

A. Pagano, Universit? degli Studi di Catania

pp. 1075

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Session MB6: Classification I

Classification of Helical Structures (Abstract)

Sameer Singh, University Of Exeter

pp. 1085

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Boundary Region Sensitive Classification for the Counterpropagation Neural Network (Abstract)

László Kovács, University of Miskolc

Gábor Terstyánszky, University of Miskolc

pp. 1090

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Focus of Attention in a Neural Network Using Meta Knowledge (Abstract)

D.L. Hudson, University of California at San Francisco

M. E. Cohen, California State University at Fresno

pp. 1095

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Target Adaptation to Improve the Performance of Least-Squared Classifiers (Abstract)

K.M. Adeney, Queen's University

M.J. Korenberg, Queen's University

pp. 1100

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The K-Winner Machine Model (Abstract)

Sandro Ridella, University of Genoa

Stefano Rovetta, University of Genoa

Rodolfo Zunino, University of Genoa

pp. 1106

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Session MB7: Multilayer Perceptrons I

Overfitting and Neural Networks: Conjugate Gradient and Backpropagation (Abstract)

Steve Lawrence, NEC Research Institute

C. Lee Giles, NEC Research Institute

pp. 1114

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Overlapped Multi-Neural-Network: A Case Study (Abstract)

Jinglu Hu, Kyushu University

Kotaro Hirasawa, Kyushu University

pp. 1120

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Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks (Abstract)

N. Ampazis, National Center for Scientific Research\DEMOKRITOS

S.J. Perantonis, National Center for Scientific Research\DEMOKRITOS

pp. 1126

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Global Optimization Algorithms for Training Product Unit Neural Networks (Abstract)

A. Ismaily, University of Western Cape

A.P. Engelbrechtz, University of Pretoria

pp. 1132

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Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates (Abstract)

S.J. Perantonis, National Center for Scientific Research\DEMOKRITOS

N. Ampazis, National Center for Scientific Research\DEMOKRITOS

S. Spirou, King's College London

pp. 1138

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Proposal of Complex-Valued Region-Based-Coupling Segmentation Neural Networks and the Application to Radar Imaging Systems (Abstract)

Session MB8: Image Processing I

Akira Hirose, University of Tokyo

Katsuhiko Hiramatsu, University of Tokyo

pp. 1146

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Segmentation of Partially Occluded Objects by Local Classification (Abstract)

Gunther Heidemann, University of Bielefeld

Dirk Lücke, University of Bielefeld

Helge Ritter, University of Bielefeld

pp. 1152

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Segmentation of Virus-Infected areas in Retinal Angiograms Using a Learning-by-Sample Approach (Abstract)

Djamel Brahmi, INSERM

Camille Serruys, INSERM

Alain Giron, INSERM

Bernard Fertil, INSERM

Nathalie Cassoux, H?pital de Piti?-Salp?tri?re

Phuc Lehoang, H?pital de Piti?-Salp?tri?re

pp. 1158

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Optimizing Ship Length Estimates from ISAR Images (Abstract)

Frank E. McFadden, Integrated Management Services, Inc.

Scott A. Musman, Integrated Management Services, Inc.

pp. 1163

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Image-Compression for Wireless World Wide Web Browsing: A Neural Network Approach (Abstract)

Natalija Vlajic, Carleton University

Thomas Kunz, Carleton University

Howard C. Card, University of Manitoba

pp. 1169

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Session MD4: Plenary Talk

Towards Understanding Images of the Mind (Abstract)

John G. Taylor, King's College

pp. 1177

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A Weight Evolution Algorithm with Deterministic Perturbation (Abstract)

Sin-Chun Ng, Hong Kong Institute of Vocational Education

Shu-Hung Leung, City University of Hong Kong

Andrew Luk, St. B&P Neural Investments Pty. Ltd.

pp. 1185

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On the Combination of Weight-Decay and Input Selection Methods (Abstract)

Mercedes Fernández-Redondo, Universidad Jaume I

Carlos Hernández-Espinosa, Universidad Jaume I

pp. 1191

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Conditional Information Analysis (Abstract)

Ryotaro Kamimura, Tokai University

pp. 1197

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Selective Information Acquisition with Application to Pattern Classification (Abstract)

Ryotaro Kamimura, Tokai University

pp. 1203

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Session ME2: Neurobiology

A Three-Dimensional Physiologically Realistic Model of the Retina (Abstract)

Michael Tadross, Rutgers University

Cameron Whitehouse, Rutgers University

Melissa Hornstein, Rutgers University

Vicky Eng, Rutgers University

Evangelia Micheli-Tzanakou, Rutgers University

pp. 1211

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A Study on Spatial and Temporal Visual Simulation of Nerve Excitement Propagation (Abstract)

Kazuro Shimokawa, Tsukuba University and Electrotechnical Laboratory

Shigeru Murak, Tsukuba University and Electrotechnical Laboratory

pp. 1217

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Network Capacity for Latent Attractor Computation (Abstract)

Simona Doboli, University of Cincinnati

Ali A. Minai, University of Cincinnati

pp. 1222

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Orientation Map: A Reaction-Diffusion Based Model (Abstract)

Basabi Bhaumik, Indian Institute of Technology

Chota M. Markan, Dayalbagh Educational Institute

pp. 1228

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A Gustatory Information-Processing Model for the Evaluation of Taste Preference (Abstract)

Toshitaka Sugimoto, Nagoya Institute of Technology

Akira Iwata, Nagoya Institute of Technology

Koji Oguri, Aichi Prefectural University

pp. 1234

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Session ME3: Non-Linear Control I

Min Max Control of Nonlinear Systems Using Universal Learning Networks (Abstract)

Hongping Chen, Kyushu University

Kotaro Hirasawa, Kyushu University

Jinglu Hu, Kyushu University

Junichi Murata, Kyushu University

pp. 1242

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Stability and Performance Robustness Issues in Neural Network Feedback Linearization (Abstract)

Dragan Obradovic, Siemens AG

pp. 1248

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Methods to Design Robust Controllers against Nonlinear and Multiple Uncertainties by Use of Neural Networks (Abstract)

Hiroaki Nakanishi, Kyoto University

Koichi Inoue, Kyoto University

pp. 1254

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Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons (Abstract)

Jochen J. Steil, Bielefeld University

pp. 1260

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Intelligent Fault Tolerant Control Using Artificial Neural Networks (Abstract)

Gary G. Yen, Oklahoma State University

Liang-Wei Ho, Oklahoma State University

pp. 1266

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Session ME6: Special Session on 'Neural Networks and Geometry'

Comparison of Rates of Linear and Neural Network Approximation (Abstract)

Vera Kurková, Academy of Sciences of the Czech Republic

Marcello Sanguineti, University of Genoa

pp. 1277

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On Dimension-Independent Approximation by Neural Networks and Linear Approximators (Abstract)

Saverio Giulini, University of Genoa

Marcello Sanguineti, University of Genoa

pp. 1283

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Should Activation Functions be Affinely Recursive? (Abstract)

Andrew Vogt, Georgetown University

pp. 1289

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Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries (Abstract)

Roman Neruda, Academy of Sciences of the Czech Republic

pp. 1293

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Convex Geometry and Nonlinear Approximation (Abstract)

Paul C. Kainen, Georgetown University

pp. 1299

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Session ME7: Multilayer Perceptrons II

Continuous Optimization of Hyper-Parameters (Abstract)

Yoshua Bengio, Universit? de Montr?al

pp. 1305

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Gradient Descent in Feed-Forward Networks with Binary Neurons (Abstract)

Mario Costa, Politecnico di Torino

Davide Palmisano, Politecnico di Torino

Eros Pasero, Politecnico di Torino

pp. 1311

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On MCMC Sampling in Bayesian MLP Neural Networks (Abstract)

Aki Vehtari, Helsinki University of Technology

Simo Särkkä, Helsinki University of Technology

Jouko Lampinen, Helsinki University of Technology

pp. 1317

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Technique of Learning Rate Estimation for Efficient Training of MLP (Abstract)

Vladimir Golovko, Brest Polytechnic Institute

Yury Savitsky, Brest Polytechnic Institute

A. Sachenko, Aristotle University of Thessaloniki

T. Laopoulo, Ternopil Academy of National Economy

L. Grandinetti, University of Calabria

pp. 1323

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Session ME8: Medical Applications I

Analysis of fMRI Time Series with Mixtures of Gaussians (Abstract)

Vittorio Sanguineti, University of Genova

Claudio Parodi, University of Genova

Sergio Perissinotto, University of Genova

Francesco Frisone, University of Genova

Paolo Vitali, University of Genova

Pietro Morasso, University of Genova

Guido Rodriguez, University of Genova

pp. 1331

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MR Image Reconstruction from Sparsely Sampled Scans Based on Multilayer Perceptrons and Using Regularization Techniques (Abstract)

D.A. Karras, University of Piraeus

M. Reczko, DEMOCRITUS University of Thrace

B.G. Mertzios, DEMOCRITUS University of Thrace

D. Graveron-Demilly, Universite LYON I-CPE

D. Van Ormondt, Delft University of Technology

pp. 1336

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Identification of Masses in Digital Mammograms with MLP and RBF Nets (Abstract)

Keir Bovis, University of Exeter

Sameer Singh, University of Exeter

Jonathan Fieldsend, University of Exeter

Chris Pinder, Royal Devon & Exeter Hospital

pp. 1342

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Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding (Abstract)

Tim W. Nattkemper, University of Bielefeld

Heiko Wersing, University of Bielefeld

Helge Ritter, University of Bielefeld

Walter Schubert, University of Magdeburg and MELTEC Ltd.

pp. 1348

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A Neuro-Fuzzy System for Automatic Assessment of Myocardial Viability in Positron Emission Tomography (Abstract)

Faiza Behloul, Leiden University Medical Center

Boudewijn P.F. Lelieveldt, Leiden University Medical Center

Johan H.C. Reiber, Leiden University Medical Center

Marc Janier, Research and Applications Center for Image and Signal Processing

pp. 1354

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