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ORCID13. ICANN / 10. ICONIP 2003: Istanbul, Turkey
- Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu:
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
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 F. 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
- Kazushi Ikeda:
Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach. 201-208 - José M. Matías, Wenceslao González-Manteiga:
Regularized Kriging: The Support Vectors Method Applied to Kriging. 209-216 - Alberto Muñoz, Isaac Martín de Diego, Javier M. Moguerza:
Support Vector Machine Classifiers for Asymmetric Proximities. 217-224 - Aysegül Uçar, Yakup Demir, Cüneyt Güzelis:
Fuzzy Model Identification Using Support Vector Clustering Method. 225-233 - Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Human Splice Site Identification with Multiclass Support Vector Machines and Bagging. 234-244
Statistical Data Analysis
- Olaf Weiss, Andreas Ziehe, Hanspeter Herzel:
Optimizing Property Codes in Protein Data Reveals Structural Characteristics. 245-252 - Yoshifusa Ito, Cidambi Srinivasan:
Multicategory Bayesian Decision Using a Three-Layer Neural Network. 253-261 - Seferina Mavroudi, Andrei Dragomir, Stergios Papadimitriou, Anastasios Bezerianos:
Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis. 262-270 - Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
Prior Hyperparameters in Bayesian PCA. 271-279 - Emilio Corchado, Colin Fyfe:
Relevance and Kernel Self-Organising Maps. 280-290
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
- Heiko Wersing, Julian Eggert, Edgar Körner:
Sparse Coding with Invariance Constraints. 385-392 - Kunihiko Fukushima:
Restoring Partly Occluded Patterns: A Neural Network Model with Backward Paths. 393-400 - Yoshitatsu Matsuda, Kazunori Yamaguchi:
The InfoMin Criterion: An Information Theoretic Unifying Objective Function for Topographic Mappings. 401-408 - Satoru Morita:
Short-Term Memory Optical Flow Image. 409-416 - Carlos Miravet, Francisco de Borja Rodríguez:
A Hybrid MLP-PNN Architecture for Fast Image Superresolution. 417-424 - Ingo Bax, Holger Bekel, Gunther Heidemann:
Recognition of Gestural Object Reference with Auditory Feedback. 425-432 - Erhan Ozalevli, Charles M. Higgins:
Multi-chip Implementation of a Biomimetic VLSI Vision Sensor Based on the Adelson-Bergen Algorithm. 433-442
Speech Recognition
- Quan Le, Samy Bengio:
Client Dependent GMM-SVM Models for Speaker Verification. 443-451 - Murat Deviren, Khalid Daoudi:
Frequency and Wavelet Filtering for Robust Speech Recognition. 452-462
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
- Zhi-ying Long, Li Yao, Xiao-jie Zhao, Liu-qing Pei, Gui Xue, Qi Dong, Dan-ling Peng:
Spatial Independent Component Analysis of Multitask-Related Activation in fMRI Data. 515-522 - Alex Aussem:
Closed Loop Stability of FIR-Recurrent Neural Networks. 523-529 - Jun-il Sohn, Minho Lee:
Selective Noise Cancellation Using Independent Component Analysis. 530-537 - Edward Harrington:
Expert Mixture Methods for Adaptive Channel Equalization. 538-545 - Michiharu Maeda:
A Relaxation Algorithm Influenced by Self-Organizing Maps. 546-553 - Hatice Dogan, Cüneyt Güzelis:
A Gradient Network for Vector Quantization and Its Image Compression Applications. 554-561 - Onno Zoeter, Tom Heskes:
Multi-scale Switching Linear Dynamical Systems. 562-572
Time-Series Prediction
- Amaury Lendasse, Vincent Wertz, Michel Verleysen:
Model Selection with Cross-Validations and Bootstraps - Application to Time Series Prediction with RBFN Models. 573-580 - Srimanta Pal, Jyotirmay Das, Kausik Kumar Majumdar:
A Hybrid Neural Architecture and Its Application to Temperature Prediction. 581-588 - Tatiana Miazhynskaia, Georg Dorffner, Engelbert J. Dockner:
Risk Management Application of the Recurrent Mixture Density Network Models. 589-596 - Carmen Vidal, Alberto Suárez:
Hierarchical Mixtures of Autoregressive Models for Time-Series Modeling. 597-606
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
- Roberta Cambio, David C. Hendry:
Low Power Digital Neuron for SOM Implementations. 721-728 - Masashi Kawaguchi, Kazuyuki Kondo, Takashi Jimbo, Masayoshi Umeno:
Direction Selective Two-Dimensional Analog Circuits Using Biomedical Vision Model. 729-736 - Valeriu Beiu, Maria J. Avedillo, José M. Quintana:
Review of Capacitive Threshold Gate Implementations. 737-744 - Valeriu Beiu:
Constructive Threshold Logic Addition A Synopsis of the Last Decade. 745-752 - Özgür Türel, Konstantin Likharev:
CrossNets: Neuromorphic Networks for Nanoelectronic Implementation. 753-762
Cognitive Science
- Alberto Greco, Thomas Riga, Angelo Cangelosi:
The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist Model. 763-770 - Gwendid T. van der Voort van der Kleij, Marc de Kamps, Frank van der Velde:
A Neural Model of Binding and Capacity in Visual Working Memory. 771-778 - Andrei Kursin:
Neural Network: Input Anticipation May Lead to Advanced Adaptation Properties. 779-785 - Yu Ohigashi, Takashi Omori, Koji Morikawa, Natsuki Oka:
Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning Behavior. 786-796
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
- Motoi Minami, Akira Hirose:
Phase Singular Points Reduction by a Layered Complex-Valued Neural Network in Combination with Constructive Fourier Synthesis. 943-950 - Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima:
Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network. 951-958 - Andriyan Bayu Suksmono, Akira Hirose:
Adaptive Beamforming by Using Complex-Valued Multi Layer Perceptron. 959-966 - Gilles Vaucher:
A Complex-Valued Spiking Machine. 967-976 - Iku Nemoto:
The Behavior of the Network Consisting of Two Complex-Valued Nagumo-Sato Neurons. 977-984 - Yasuaki Kuroe, Mitsuo Yoshida, Takehiro Mori:
On Activation Functions for Complex-Valued Neural Networks - Existence of Energy Functions. 985-992 - Tohru Nitta:
The Computational Power of Complex-Valued Neuron. 993-1002 - Sule Gündüz, M. Tamer Özsu:
Recommendation Models for User Accesses to Web Pages. 1003-1010
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 Georgiev 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 - Xiaohong W. Gao, Lubov Podladchikova, Dmitry 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
- S. Y. M. Shi, Ponnuthurai N. Suganthan:
Feature Analysis and Classification of Protein Secondary Structure Data. 1151-1158 - I-Fang Chung, Chuen-Der Huang, Ya-Hsin Shen, Chin-Teng Lin:
Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture. 1159-1167 - Chuen-Der Huang, I-Fang Chung, Nikhil R. Pal, Chin-Teng Lin:
Machine Learning for Multi-class Protein Fold Classification Based on Neural Networks with Feature Gating. 1168-1175 - Nikhil R. Pal, Debrup Chakraborty:
Some New Features for Protein Fold Prediction. 1176-1183
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