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18. ICANN 2008: Prague, Czech Republic
- Vera Kurková, Roman Neruda, Jan Koutník:
Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5163, Springer 2008, ISBN 978-3-540-87535-2
Mathematical Theory of Neurocomputing
- Shotaro Akaho
:
Dimension Reduction for Mixtures of Exponential Families. 1-10 - Bartlomiej Beliczynski, Bernardete Ribeiro
Several Enhancements to Hermite-Based Approximation of One-Variable Functions. 11-20 - Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Multi-category Bayesian Decision by Neural Networks. 21-30 - Paul C. Kainen, Vera Kurková
Estimates of Network Complexity and Integral Representations. 31-40 - Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz:
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. 41-50 - Yu Nishiyama, Sumio Watanabe:
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. 51-60 - Yutaka Shimada
Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory. 61-70 - Martin Schüle, Thomas Ott, Ruedi Stoop:
Global Dynamics of Finite Cellular Automata. 71-78
Learning Algorithms
- Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training. 79-88 - Jiaoyan Ai, Brian V. Funt, Lilong Shi:
A New Type of ART2 Architecture and Application to Color Image Segmentation. 89-98 - Bruno Apolloni, Simone Bassis
BICA: A Boolean Indepenedent Component Analysis Approach. 99-108 - Débora C. Corrêa, Alexandre L. M. Levada
Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization. 109-118 - Wei-Chen Cheng, Cheng-Yuan Liou
Manifold Construction Using the Multilayer Perceptron. 119-127 - Cezary Dendek, Jacek Mandziuk
Improving Performance of a Binary Classifier by Training Set Selection. 128-135 - Yoshitatsu Matsuda, Kazunori Yamaguchi
An Overcomplete ICA Algorithm by InfoMax and InfoMin. 136-144 - Yoan Miche
OP-ELM: Theory, Experiments and a Toolbox. 145-154 - Ezequiel López-Rubio
Robust Nonparametric Probability Density Estimation by Soft Clustering. 155-164 - Yasunori Nishimori, Shotaro Akaho
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis. 165-174 - Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. 175-184 - Luís M. Silva
The Influence of the Risk Functional in Data Classification with MLPs. 185-194 - Stelios Timotheou
Nonnegative Least Squares Learning for the Random Neural Network. 195-204
Kernel Methods, Statistical Learning, and Ensemble Techniques
- Daniel Hernández-Lobato:
Sparse Bayes Machines for Binary Classification. 205-214 - Katerina Hlavácková-Schindler
Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution. 215-224 - Peter Lacko, Vladimir Kvasnicka:
Mixture of Expert Used to Learn Game Play. 225-234 - Daniel Oberhoff, Marina Kolesnik:
Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences. 235-244 - Laura Emmanuella A. Santana
Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods. 245-254 - Ke Sun, Lei Xu:
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis. 255-264 - Shikui Tu, Lei Shi, Lei Xu:
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. 265-274 - Joaquín Torres-Sospedra
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set. 275-284 - Joaquín Torres-Sospedra
New Results on Combination Methods for Boosting Ensembles. 285-294
Support Vector Machines
- Shigeo Abe
Batch Support Vector Training Based on Exact Incremental Training. 295-304 - Fabio Aiolli, Giovanni Da San Martino
A Kernel Method for the Optimization of the Margin Distribution. 305-314 - Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
A 4-Vector MDM Algorithm for Support Vector Training. 315-324 - Honorius Gâlmeanu, Razvan Andonie
Implementation Issues of an Incremental and Decremental SVM. 325-335 - Khaled Boukharouba, Stéphane Lecoeuche
Online Clustering of Non-stationary Data Using Incremental and Decremental SVM. 336-345 - Tomasz Maszczyk, Wlodzislaw Duch
Support Vector Machines for Visualization and Dimensionality Reduction. 346-356
Reinforcement Learning
- Marek Grzes, Daniel Kudenko:
Multigrid Reinforcement Learning with Reward Shaping. 357-366 - Yu Hiei, Takeshi Mori, Shin Ishii
Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments. 367-376 - Makoto Otsuka, Junichiro Yoshimoto
Robust Population Coding in Free-Energy-Based Reinforcement Learning. 377-386 - Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters
Policy Gradients with Parameter-Based Exploration for Control. 387-396 - Yuki Taniguchi, Takeshi Mori, Shin Ishii
A Continuous Internal-State Controller for Partially Observable Markov Decision Processes. 397-406 - Daan Wierstra, Tom Schaul, Jan Peters
Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. 407-416 - Jernej Zupanc:
Error-Entropy Minimization for Dynamical Systems Modeling. 417-425
Evolutionary Computing
- Zdenek Buk
Hybrid Evolution of Heterogeneous Neural Networks. 426-434 - Oleg Kovárík, Miroslav Skrbek
Ant Colony Optimization with Castes. 435-442 - David Lahoz, Pedro M. Mateo:
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms. 443-451 - Daniel Novák
Analysis of Vestibular-Ocular Reflex by Evolutionary Framework. 452-461 - Tomás Siegl, Pavel Kordík, Miroslav Snorek, Pavel Calda
Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?. 462-471 - Hong Zhang, Masumi Ishikawa:
Evolutionary Canonical Particle Swarm Optimizer - A Proposal of Meta-optimization in Model Selection. 472-481
Hybrid Systems
- Marcin Blachnik
Building Localized Basis Function Networks Using Context Dependent Clustering. 482-491 - Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics. 492-502 - Boguslaw Cyganek:
Neuro-fuzzy System for Road Signs Recognition. 503-512 - Arfan Ghani
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. 513-522 - Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. 523-532 - Petr Hájek
Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks. 533-542 - Roman Neruda
Implementing Boolean Matrix Factorization. 543-552 - Vladimir Kryzhanovsky, Boris Kryzhanovsky
Application of Potts-Model Perceptron for Binary Patterns Identification. 553-561 - Araken de Medeiros Santos, Anne Magály de Paula Canuto:
Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting. 562-571
Self-organization
- Banchar Arnonkijpanich, Barbara Hammer
Matrix Learning for Topographic Neural Maps. 572-582 - Antonino Fiannaca
Clustering Quality and Topology Preservation in Fast Learning SOMs. 583-592 - Claudius Gläser, Frank Joublin, Christian Goerick:
Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization. 593-602 - Timo Honkela, Sami Virpioja, Jaakko J. Väyrynen:
Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps. 603-612 - Hirotaka Inoue:
Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees. 613-622 - Hideyuki Kato, Tohru Ikeguchi:
Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity. 623-631 - Jan Koutník, Miroslav Snorek:
Temporal Hebbian Self-Organizing Map for Sequences. 632-641 - Iván Machón González
FLSOM with Different Rates for Classification in Imbalanced Datasets. 642-651 - Lucia Maddalena
A Self-organizing Neural System for Background and Foreground Modeling. 652-661 - Víctor Mireles, Antonio Neme
Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution. 662-670 - Antonio Neme
Decreasing Neighborhood Revisited in Self-Organizing Maps. 671-679 - Esteban J. Palomo
A New GHSOM Model Applied to Network Security. 680-689 - Matús Uzák, Rudolf Jaksa, Peter Sincak
Reduction of Visual Information in Neural Network Learning Visualization. 690-699
Control and Robotics
- Péter Gasztonyi, István Á. Harmati:
Heuristiscs-Based High-Level Strategy for Multi-agent Systems. 700-709 - Sven Hellbach, Sören Strauss, Julian Eggert, Edgar Körner, Horst-Michael Gross:
Echo State Networks for Online Prediction of Movement Data - Comparing Investigations. 710-719 - Stanislav Slusny, Roman Neruda
Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem. 720-729 - Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
Modular Neural Networks for Model-Free Behavioral Learning. 730-739 - Cornelius Weber, Jochen Triesch:
From Exploration to Planning. 740-749
Signal and Time Series Processing
- Theologos Athanaselis, Stelios Bakamidis, Konstantinos Mamouras, Ioannis Dologlou:
Sentence-Level Evaluation Using Co-occurences of N-Grams. 750-758 - Pau Bofill:
Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation. 759-767 - Miroslav Cepek, Miroslav Snorek, Václav Chudácek:
ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers. 768-777 - Michal Cernanský
Predictive Modeling with Echo State Networks. 778-787 - Kai Labusch, Erhardt Barth, Thomas Martinetz:
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. 788-797 - Rashidi Khazaee Parviz, Nasser Mozayani, Mohammad Reza Jahed-Motlagh:
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction. 798-807 - Francis Wyffels, Benjamin Schrauwen, Dirk Stroobandt:
Stable Output Feedback in Reservoir Computing Using Ridge Regression. 808-817
Image Processing
- Mohamed Berkane, Patrick Clarysse
Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps. 818-826 - Marcin Blachnik
Image Classification by Histogram Features Created with Learning Vector Quantization. 827-836 - Nizar Bouguila, Walid ElGuebaly:
A Statistical Model for Histogram Refinement. 837-846 - Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. 847-856 - David A. Elizondo, Shang-Ming Zhou
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. 857-866 - Benedikt Kaiser, Gunther Heidemann:
A Spatio-temporal Extension of the SUSAN-Filter. 867-876 - Rafael Marcos Luque Baena
A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. 877-886 - Marco Mora Cofré, Ruben Valenzuela, Girma Berhe:
A Hierarchic Method for Footprint Segmentation Based on SOM. 887-896 - Judith Redi, Paolo Gastaldo
Co-occurrence Matrixes for the Quality Assessment of Coded Images. 897-906 - Nikos Simou, Thanos Athanasiadis, Stefanos D. Kollias
Semantic Adaptation of Neural Network Classifiers in Image Segmentation. 907-916 - Marina Velikova, Hennie Daniels, Maurice Samulski:
Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms. 917-926
Image Processing - Recognition Systems
- Stylianos Asteriadis
A Neuro-fuzzy Approach to User Attention Recognition. 927-936 - Thomas Bangert:
TriangleVision: A Toy Visual System. 937-950 - Alberto Ferreira de Souza
Face Recognition with VG-RAM Weightless Neural Networks. 951-960 - Mathias Franzius, Niko Wilbert, Laurenz Wiskott
Invariant Object Recognition with Slow Feature Analysis. 961-970 - Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton:
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. 971-981 - Pedro Luis Sánchez Orellana, Claudio Castellanos Sánchez:
A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects. 982-990 - Yasuomi D. Sato, Jenia Jitsev
A Visual Object Recognition System Invariant to Scale and Rotation. 991-1000 - Aruna Shenoy, Tim M. Gale, Neil Davey, Bruce Christianson
Recognizing Facial Expressions: A Comparison of Computational Approaches. 1001-1010 - Daniel Weiler, Volker Willert, Julian Eggert:
A Probabilistic Prediction Method for Object Contour Tracking. 1011-1020
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