13. ICANN /
10. ICONIP 2003:
Istanbul,
Turkey
 Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu (Eds.):
Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings.
Lecture Notes in Computer Science 2714 Springer 2003, ISBN 3-540-40408-2  
  
  
  
  
 @proceedings{DBLP:conf/icann/2003,
  editor    = {Okyay Kaynak and
               Ethem Alpaydin and
               Erkki Oja and
               Lei Xu},
  title     = {Artificial Neural Networks and Neural Information Processing
               - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP
               2003, Istanbul, Turkey, June 26-29, 2003, Proceedings},
  booktitle = {ICANN},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {2714},
  year      = {2003},
  isbn      = {3-540-40408-2},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
 
Learning Algorithms
- Gürsel Serpen:
 Adaptive Hopfield Network.
3-10
             
- Hirotaka Inoue, Hiroyuki Narihisa:
 Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks.
11-18
             
- James Henderson:
 Structural Bias in Inducing Representations for Probabilistic Natural Language Parsing.
19-26
             
- Yasuo Matsuyama, Naoto Katsumata, Ryo Kawamura:
 Independent Component Analysis Minimizing Convex Divergence.
27-34
             
- Antanas Verikas, Marija Bacauskiene, Kerstin Malmqvist:
 Selecting Salient Features for Classification Committees.
35-42
             
- Oliver Buchtala, Alexander Hofmann, Bernhard Sick:
 Fast and Efficient Training of RBF Networks.
43-51
             
- Cheng-Yuan Liou, Un-Cheong Sou:
 Loading Temporal Associative Memory Using the Neuronic Equation.
52-59
             
- Sebastian Weng, Jochen J. Steil:
 Learning Compatibility Functions for Feature Binding and Perceptual Grouping.
60-67
             
- Seungjin Choi:
 Differential ICA.
68-75
             
- Zafer Barutçuoglu:
 A Comparison of Model Aggregation Methods for Regression.
76-83
             
- Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo:
 Linear Least-Squares Based Methods for Neural Networks Learning.
84-91
             
- Jean-Pascal Pfister, David Barber, Wulfram Gerstner:
 Optimal Hebbian Learning: A Probabilistic Point of View.
92-98
             
- Ryotaro Kamimura:
 Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning.
99-106
             
- Felix V. Agakov, David Barber:
 Approximate Learning in Temporal Hidden Hopfield Models.
107-114
             
- Kaizhu Huang, Irwin King, Michael R. Lyu:
 Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier.
115-122
             
- Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
 System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning.
123-131
             
- Kun Zhang, Lai-Wan Chan:
 Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA.
132-139
             
- Piotr Juszczak, Robert P. W. Duin:
 Selective Sampling Methods in One-Class Classification Problems.
140-148
             
- Alberto Paccanaro:
 Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding.
149-156
             
- Takayuki Oohira, Koichiro Yamauchi, Takashi Omori:
 Meta-learning for Fast Incremental Learning.
157-164
             
- Yiu-ming Cheung:
 Expectation-MiniMax Approach to Clustering Analysis.
165-172
             
- Alessio Micheli, Diego Sona, Alessandro Sperduti:
 Formal Determination of Context in Contextual Recursive Cascade Correlation Networks.
173-180
             
- Jeffrey Byorick, Robi Polikar:
 Confidence Estimation Using the Incremental Learning Algorithm, Learn++.
181-188
             
- Ivan Nunes da Silva:
 Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization.
189-200
             
SVM and Kernel Methods
Statistical Data Analysis
Pattern Recognition
- JaeMo Sung, Sung Yang Bang:
 Hierarchical Bayesian Network for Handwritten Digit Recognition.
291-298
             
- Brijnesh J. Jain, Fritz Wysotzki:
 A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems.
299-306
             
- Peter Neumann, Bernhard Sick, Dirk Arndt, Wendy Gersten:
 Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application.
307-315
             
- Alexander Hofmann, Carsten Schmitz, Bernhard Sick:
 Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers.
316-324
             
- Andreas Knoblauch:
 Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory.
325-332
             
- Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin:
 Supervised Locally Linear Embedding.
333-341
             
- David M. J. Tax, Klaus-Robert Müller:
 Feature Extraction for One-Class Classification.
342-349
             
- Stéphane Lecoeuche, Christophe Lurette:
 Auto-adaptive and Dynamical Clustering Neural Network.
350-358
             
- Krzysztof Grabczewski, Norbert Jankowski:
 Transformations of Symbolic Data for Continuous Data Oriented Models.
359-366
             
- Giuseppe Acciani, Girolamo Fornarelli, Luciano Liturri:
 Comparing Fuzzy Data Sets by Means of Graph Matching Technique.
367-374
             
- Florin Cutzu:
 How to Do Multi-way Classification with Two-Way Classifiers.
375-384
             
Vision
Speech Recognition
Robotics and Control
- Heiko Hoffmann, Ralf Möller:
 Unsupervised Learning of a Kinematic Arm Model.
463-470
             
- Toru Yamamoto, Ryota Kurozumi, Shoichiro Fujisawa:
 A Design of CMAC Based Intelligent PID Controllers.
471-478
             
- Ralf Schoknecht, Martin A. Riedmiller:
 Learning to Control at Multiple Time Scales.
479-487
             
- Sethuraman Muthuraman, Grant M. Maxwell, Christopher MacLeod:
 The Evolution of Modular Artificial Neural Networks for Legged Robot Control.
488-495
             
- I. René J. A. te Boekhorst, Max Lungarella, Rolf Pfeifer:
 Dimensionality Reduction through Sensory-Motor Coordination.
496-503
             
- Kaustubh Chokshi, Stefan Wermter, Cornelius Weber:
 Learning Localisation Based on Landmarks Using Self-Organisation.
504-514
             
Signal Processing
Time-Series Prediction
Intelligent and Hybrid Systems
- Wen Dou, Yan Jia, Zhong Liu, Peng Zou:
 A Simple Constructing Approach to Build P2P Global Computing Overlay Network.
607-614
             
- Paul Lajbcygier:
 Option Pricing with the Product Constrained Hybrid Neural Network.
615-621
             
- Pasi Lehtimäki, Kimmo Raivio, Olli Simula:
 Self-Organizing Operator Maps in Complex System Analysis.
622-629
             
- Filiz Günes, Yavuz Cengiz:
 Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic Algorithms.
630-637
             
- Tong Boon Tang, Hsin Chen, Alan F. Murray:
 Adaptive Stochastic Classifier for Noisy pH-ISFET Measurements.
638-645
             
- Sheila Garfield, Stefan Wermter:
 Comparing Support Vector Machines, Recurrent Networks, and Finite State Transducers for Classifying Spoken Utterances.
646-653
             
- Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
 Selecting and Ranking Time Series Models Using the NOEMON Approach.
654-661
             
- Serdal Terzi, Mehmet Saltan, Tülay Yildirim:
 Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach.
662-669
             
- Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
 Inversion of a Neural Network via Interval Arithmetic for Rule Extraction.
670-677
             
- Sang-Jae Park, Sang-Woo Ban, Jang-Kyoo Shin, Minho Lee:
 Implementation of Visual Attention System Using Bottom-up Saliency Map Model.
678-685
             
- Y. H. Chen, C. L. Tseng, Hsin-Chia Fu, Hsiao-Tien Pao:
 A Self-Growing Probabilistic Decision-Based Neural Network for Anchor/Speaker Identification.
686-694
             
- Songül Albayrak:
 Unsupervised Clustering Methods for Medical Data: An Application to Thyroid Gland Data.
695-701
             
- Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas:
 Protein Sequence Classification Using Probabilistic Motifs and Neural Networks.
702-709
             
- Yasar Becerikli, Yusuf Oysal, Ahmet Ferit Konar:
 On a Dynamic Wavelet Network and Its Modeling Application.
710-720
             
Neural Network Hardware
Cognitive Science
Computational Neuroscience
- Mark D. Humphries, Tony J. Prescott, Kevin N. Gurney:
 The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia.
797-804
             
- Verena Vanessa Hafner, Miriam Fend, Max Lungarella, Rolf Pfeifer, Peter König, Konrad P. Körding:
 Optimal Coding for Naturally Occurring Whisker Deflections.
805-812
             
- Cornelius Weber, Stefan Wermter:
 Object Localisation Using Laterally Connected "What" and "Where" Associator Networks.
813-820
             
- Akira Hirose, Toshihiko Hamano:
 Influence of Membrane Warp on Pulse Propagation Time.
821-829
             
- Andrew P. Paplinski, Lennart Gustafsson:
 Detailed Learning in Narrow Fields - Towards a Neural Network Model of Autism.
830-838
             
- Julien Mayor, Wulfram Gerstner:
 Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network.
839-845
             
- Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner:
 The Spike Response Model: A Framework to Predict Neuronal Spike Trains.
846-853
             
- Antonino Casile, Martin A. Giese:
 Roles of Motion and Form in Biological Motion Recognition.
854-866
             
Semantic and Context Aware Intelligent Systems
- Nicolas Tsapatsoulis, Manolis Wallace, Stathis Kasderidis:
 Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of High-Dimensional Data.
867-874
             
- Bruno Apolloni, Andrea Brega, Dario Malchiodi, Giorgio Palmas, Anna Maria Zanaboni:
 Learning Rule Representations from Boolean Data.
875-882
             
- Andreas Nürnberger, Marcin Detyniecki:
 Weighted Self-Organizing Maps: Incorporating User Feedback.
883-890
             
- Patrick Gallinari, Sylvain Bidel, Laurent Lemoine, Frédéric Piat, Thierry Artières:
 Classification and Tracking of Hypermedia Navigation Patterns.
891-900
             
- Erol Gelenbe, Arturo Núñez:
 Self-Aware Networks and Quality of Service.
901-908
             
- Stathis Kasderidis, John G. Taylor, Nicolas Tsapatsoulis, Dario Malchiodi:
 Drawing Attention to the Dangerous.
909-916
             
- Trevor P. Martin:
 ASK - Acquisition of Semantic Knowledge.
917-924
             
- Minas Pertselakis, Dimitrios S. Frossyniotis, Andreas Stafylopatis:
 An Adaptable Gaussian Neuro-Fuzzy Classifier.
925-932
             
- Vassilis Tzouvaras, Giorgos B. Stamou, Stefanos D. Kollias:
 Knowledge Refinement Using Fuzzy Compositional Neural Networks.
933-942
             
Complex-Valued Neural Networks: Theories and Applications
Computational Intelligence and Applications
- Hakan Karakahya, Bingül Yazgan, Okan K. Ersoy:
 A Spectral-Spatial Classification Algorithm for Multispectral Remote Sensing Data.
1011-1017
             
- Ibrahim N. Tansel, Reen Nripjeet Singh, Peng Chen, Claudia V. Kropas-Hughes:
 Neural Network Based Material Identification and Part Thickness Estimation from Two Radiographic Images.
1018-1025
             
- W. Y. Bao, Peng Chen, Ibrahim N. Tansel, N. S. Reen, S. Y. Yang, D. Rincon:
 Selection of Optimal Cutting Conditions by Using the Genetically Optimized Neural Network System (GONNS).
1026-1032
             
- Natacha Gueorguieva, Iren Valova:
 Building RBF Neural Network Topology through Potential Functions.
1033-1040
             
- Coskun Bayrak, Z. Chen, Jonathan Norton, Hubert Preissl, Curtis Lowery, Hari Eswaran, James D. Wilson:
 Use of Magnetomyographic (MMG) Signals to Calculate the Dependency Properties of the Active Sensors in Myometrial Activity Monitoring.
1041-1048
             
- Taher Daud, Ricardo Salem Zebulum, Tuan A. Duong, Ian Ferguson, Curtis Padgett, Adrian Stoica, Anil Thakoor:
 Speed Enhancement with Soft Computing Hardware.
1049-1056
             
- Hüseyin Göksu, Donald C. Wunsch II:
 Neural Networks Applied to Electromagnetic Compatibility (EMC) Simulations.
1057-1063
             
- Nikola G. Shakev, Andon V. Topalov, Okyay Kaynak:
 Sliding Mode Algorithm for Online Learning in Analog Multilayer Feedforward Neural Networks.
1064-1072
             
- Jack Y. Yang, Mary Qu Yang, Okan K. Ersoy:
 Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques.
1073-1080
             
- Susan E. Bedingfield, Kate A. Smith:
 Predicting Bad Credit Risk: An Evolutionary Approach.
1081-1088
             
- Amber D. Fischer, Cihan H. Dagli:
 Indirect Differentiation of Function for a Network of Biologically Plausible Neurons.
1089-1099
             
- X. W. Gao, L. Podladchikova, D. Shaposhnikov:
 Application of Vision Models to Traffic Sign Recognition.
1100-1105
             
Emotion Recognition
- Amaryllis Raouzaiou, Spiros Ioannou, Kostas Karpouzis, Nicolas Tsapatsoulis, Stefanos D. Kollias, Roddy Cowie:
 An Intelligent Scheme for Facial Expression Recognition.
1109-1116
             
- Theologos Athanaselis, Stavroula-Evita Fotinea, Stelios Bakamidis, Ioannis Dologlou, Georgios Giannopoulos:
 Signal Enhancement for Continuous Speech Recognition.
1117-1124
             
- Stavroula-Evita Fotinea, Stelios Bakamidis, Theologos Athanaselis, Ioannis Dologlou, George Carayannis, Roddy Cowie, Ellen Douglas-Cowie, Nickolaos F. Fragopanagos, John G. Taylor:
 Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis.
1125-1132
             
- John G. Taylor, Nickolaos F. Fragopanagos, Roddy Cowie, Ellen Douglas-Cowie, Stavroula-Evita Fotinea, Stefanos D. Kollias:
 An Emotional Recognition Architecture Based on Human Brain Structure.
1133-1142
             
- Hong-Hee Won, Sung-Bae Cho:
 Neural Network Ensemble with Negatively Correlated Features for Cancer Classification.
1143-1150
             
Neural Networks for Bio-informatics Applications
Copyright © Fri Mar 12 17:12:57 2010
 by Michael Ley (ley@uni-trier.de)