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18. ICANN 2008: Prague, Czech Republic

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  • Mathematical Theory of Neurocomputing
  • Learning Algorithms
  • Kernel Methods, Statistical Learning, and Ensemble Techniques
  • Support Vector Machines
  • Reinforcement Learning
  • Evolutionary Computing
  • Hybrid Systems
  • Self-organization
  • Control and Robotics
  • Signal and Time Series Processing
  • Image Processing
  • Image Processing - Recognition Systems

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    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

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    Shotaro Akaho:
    Dimension Reduction for Mixtures of Exponential Families. 1-10
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    Bartlomiej Beliczynski, Bernardete Ribeiro:
    Several Enhancements to Hermite-Based Approximation of One-Variable Functions. 11-20
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    Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
    Multi-category Bayesian Decision by Neural Networks. 21-30
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    Paul C. Kainen, Vera Kurková:
    Estimates of Network Complexity and Integral Representations. 31-40
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    Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz:
    Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. 41-50
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    Yu Nishiyama, Sumio Watanabe:
    Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. 51-60
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    Yutaka Shimada, Takayuki Kimura, Tohru Ikeguchi:
    Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory. 61-70
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    Martin Schüle, Thomas Ott, Ruedi Stoop:
    Global Dynamics of Finite Cellular Automata. 71-78

Learning Algorithms

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    Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm:
    Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training. 79-88
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    Jiaoyan Ai, Brian V. Funt, Lilong Shi:
    A New Type of ART2 Architecture and Application to Color Image Segmentation. 89-98
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    Bruno Apolloni, Simone Bassis, Andrea Brega:
    BICA: A Boolean Indepenedent Component Analysis Approach. 99-108
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    Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito:
    Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization. 109-118
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    Wei-Chen Cheng, Cheng-Yuan Liou:
    Manifold Construction Using the Multilayer Perceptron. 119-127
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    Cezary Dendek, Jacek Mandziuk:
    Improving Performance of a Binary Classifier by Training Set Selection. 128-135
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    Yoshitatsu Matsuda, Kazunori Yamaguchi:
    An Overcomplete ICA Algorithm by InfoMax and InfoMin. 136-144
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    Yoan Miche, Antti Sorjamaa, Amaury Lendasse:
    OP-ELM: Theory, Experiments and a Toolbox. 145-154
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    Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez, María del Carmen Vargas-González:
    Robust Nonparametric Probability Density Estimation by Soft Clustering. 155-164
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    Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley:
    Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis. 165-174
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    Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens:
    Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. 175-184
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    Luís M. Silva, Mark J. Embrechts, Jorge M. Santos, Joaquim Marques de Sá:
    The Influence of the Risk Functional in Data Classification with MLPs. 185-194
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    Stelios Timotheou:
    Nonnegative Least Squares Learning for the Random Neural Network. 195-204

Kernel Methods, Statistical Learning, and Ensemble Techniques

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    Daniel Hernández-Lobato:
    Sparse Bayes Machines for Binary Classification. 205-214
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    Katerina Hlavácková-Schindler:
    Tikhonov Regularization Parameter in Reproducing Kernel Hilbert Spaces with Respect to the Sensitivity of the Solution. 215-224
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    Peter Lacko, Vladimir Kvasnicka:
    Mixture of Expert Used to Learn Game Play. 225-234
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    Daniel Oberhoff, Marina Kolesnik:
    Unsupervised Bayesian Network Learning for Object Recognition in Image Sequences. 235-244
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    Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr.:
    Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods. 245-254
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    Ke Sun, Lei Xu:
    Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis. 255-264
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    Shikui Tu, Lei Shi, Lei Xu:
    A Comparative Study on Data Smoothing Regularization for Local Factor Analysis. 265-274
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    Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
    Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set. 275-284
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    Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
    New Results on Combination Methods for Boosting Ensembles. 285-294

Support Vector Machines

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    Shigeo Abe:
    Batch Support Vector Training Based on Exact Incremental Training. 295-304
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    Fabio Aiolli, Giovanni Da San Martino, Alessandro Sperduti:
    A Kernel Method for the Optimization of the Margin Distribution. 305-314
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    Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
    A 4-Vector MDM Algorithm for Support Vector Training. 315-324
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    Honorius Gâlmeanu, Razvan Andonie:
    Implementation Issues of an Incremental and Decremental SVM. 325-335
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    Khaled Boukharouba, Stéphane Lecoeuche:
    Online Clustering of Non-stationary Data Using Incremental and Decremental SVM. 336-345
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    Tomasz Maszczyk, Wlodzislaw Duch:
    Support Vector Machines for Visualization and Dimensionality Reduction. 346-356

Reinforcement Learning

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    Marek Grzes, Daniel Kudenko:
    Multigrid Reinforcement Learning with Reward Shaping. 357-366
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    Yu Hiei, Takeshi Mori, Shin Ishii:
    Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments. 367-376
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    Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya:
    Robust Population Coding in Free-Energy-Based Reinforcement Learning. 377-386
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    Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber:
    Policy Gradients with Parameter-Based Exploration for Control. 387-396
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    Yuki Taniguchi, Takeshi Mori, Shin Ishii:
    A Continuous Internal-State Controller for Partially Observable Markov Decision Processes. 397-406
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    Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber:
    Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. 407-416
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    Jernej Zupanc:
    Error-Entropy Minimization for Dynamical Systems Modeling. 417-425

Evolutionary Computing

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    Zdenek Buk, Miroslav Snorek:
    Hybrid Evolution of Heterogeneous Neural Networks. 426-434
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    Oleg Kovárík, Miroslav Skrbek:
    Ant Colony Optimization with Castes. 435-442
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    David Lahoz, Pedro M. Mateo:
    Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms. 443-451
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    Daniel Novák, Ales Pilný, Pavel Kordík, Stefan Holiga, Petr Posík, R. Cerný, Richard Brzezny:
    Analysis of Vestibular-Ocular Reflex by Evolutionary Framework. 452-461
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    Tomás Siegl, Pavel Kordík, Miroslav Snorek, Pavel Calda:
    Fetal Weight Prediction Models: Standard Techniques or Computational Intelligence Methods?. 462-471
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    Hong Zhang, Masumi Ishikawa:
    Evolutionary Canonical Particle Swarm Optimizer - A Proposal of Meta-optimization in Model Selection. 472-481

Hybrid Systems

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    Marcin Blachnik, Wlodzislaw Duch:
    Building Localized Basis Function Networks Using Context Dependent Clustering. 482-491
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    Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis, Stefanos D. Kollias:
    Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics. 492-502
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    Boguslaw Cyganek:
    Neuro-fuzzy System for Road Signs Recognition. 503-512
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    Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin:
    Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. 513-522
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    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
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    Petr Hájek, Vladimír Olej:
    Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks. 533-542
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    Roman Neruda, Václav Snásel, Jan Platos, Pavel Krömer, Dusan Húsek, Alexander A. Frolov:
    Implementing Boolean Matrix Factorization. 543-552
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    Vladimir Kryzhanovsky, Boris Kryzhanovsky, Anatoly B. Fonarev:
    Application of Potts-Model Perceptron for Binary Patterns Identification. 553-561
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    Araken de Medeiros Santos, Anne Magály de Paula Canuto:
    Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting. 562-571

Self-organization

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    Banchar Arnonkijpanich, Barbara Hammer, Alexander Hasenfuss, Chidchanok Lursinsap:
    Matrix Learning for Topographic Neural Maps. 572-582
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    Antonino Fiannaca, Giuseppe Di Fatta, Salvatore Gaglio, Riccardo Rizzo, Alfonso Urso:
    Clustering Quality and Topology Preservation in Fast Learning SOMs. 583-592
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    Claudius Gläser, Frank Joublin, Christian Goerick:
    Enhancing Topology Preservation during Neural Field Development Via Wiring Length Minimization. 593-602
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    Timo Honkela, Sami Virpioja, Jaakko J. Väyrynen:
    Adaptive Translation: Finding Interlingual Mappings Using Self-Organizing Maps. 603-612
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    Hirotaka Inoue:
    Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees. 613-622
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    Hideyuki Kato, Tohru Ikeguchi:
    Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity. 623-631
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    Jan Koutník, Miroslav Snorek:
    Temporal Hebbian Self-Organizing Map for Sequences. 632-641
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    Iván Machón González, Hilario López García:
    FLSOM with Different Rates for Classification in Imbalanced Datasets. 642-651
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    Lucia Maddalena, Alfredo Petrosino:
    A Self-organizing Neural System for Background and Foreground Modeling. 652-661
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    Víctor Mireles, Antonio Neme:
    Analyzing the Behavior of the SOM through Wavelet Decomposition of Time Series Generated during Its Execution. 662-670
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    Antonio Neme, Elizabeth Chavez, Alejandra Cervera, Víctor Mireles:
    Decreasing Neighborhood Revisited in Self-Organizing Maps. 671-679
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    Esteban J. Palomo, Enrique Domínguez, Rafael Marcos Luque, José Muñoz:
    A New GHSOM Model Applied to Network Security. 680-689
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    Matús Uzák, Rudolf Jaksa, Peter Sincak:
    Reduction of Visual Information in Neural Network Learning Visualization. 690-699

Control and Robotics

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    Péter Gasztonyi, István Á. Harmati:
    Heuristiscs-Based High-Level Strategy for Multi-agent Systems. 700-709
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    Sven Hellbach, Sören Strauss, Julian Eggert, Edgar Körner, Horst-Michael Gross:
    Echo State Networks for Online Prediction of Movement Data - Comparing Investigations. 710-719
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    Stanislav Slusny, Roman Neruda, Petra Vidnerová:
    Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem. 720-729
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    Johane Takeuchi, Osamu Shouno, Hiroshi Tsujino:
    Modular Neural Networks for Model-Free Behavioral Learning. 730-739
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    Cornelius Weber, Jochen Triesch:
    From Exploration to Planning. 740-749

Signal and Time Series Processing

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    Theologos Athanaselis, Stelios Bakamidis, Konstantinos Mamouras, Ioannis Dologlou:
    Sentence-Level Evaluation Using Co-occurences of N-Grams. 750-758
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    Pau Bofill:
    Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation. 759-767
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    Miroslav Cepek, Miroslav Snorek, Václav Chudácek:
    ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers. 768-777
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    Michal Cernanský, Peter Tiño:
    Predictive Modeling with Echo State Networks. 778-787
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    Kai Labusch, Erhardt Barth, Thomas Martinetz:
    Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. 788-797
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    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
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    Francis Wyffels, Benjamin Schrauwen, Dirk Stroobandt:
    Stable Output Feedback in Reservoir Computing Using Ridge Regression. 808-817

Image Processing

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    Mohamed Berkane, Patrick Clarysse, Isabelle E. Magnin:
    Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps. 818-826
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    Marcin Blachnik, Jorma Laaksonen:
    Image Classification by Histogram Features Created with Learning Vector Quantization. 827-836
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    Nizar Bouguila, Walid ElGuebaly:
    A Statistical Model for Histogram Refinement. 837-846
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    Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
    Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. 847-856
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    David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou:
    Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. 857-866
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    Benedikt Kaiser, Gunther Heidemann:
    A Spatio-temporal Extension of the SUSAN-Filter. 867-876
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    Rafael Marcos Luque Baena, Enrique Domínguez, Domingo López-Rodríguez, Esteban J. Palomo:
    A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection. 877-886
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    Marco Mora Cofré, Ruben Valenzuela, Girma Berhe:
    A Hierarchic Method for Footprint Segmentation Based on SOM. 887-896
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    Judith Redi, Paolo Gastaldo, Rodolfo Zunino, Ingrid Heynderickx:
    Co-occurrence Matrixes for the Quality Assessment of Coded Images. 897-906
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    Nikos Simou, Thanos Athanasiadis, Stefanos D. Kollias, Giorgos B. Stamou, Andreas Stafylopatis:
    Semantic Adaptation of Neural Network Classifiers in Image Segmentation. 907-916
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    Marina Velikova, Hennie Daniels, Maurice Samulski:
    Partially Monotone Networks Applied to Breast Cancer Detection on Mammograms. 917-926

Image Processing - Recognition Systems

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    Stylianos Asteriadis, Kostas Karpouzis, Stefanos D. Kollias:
    A Neuro-fuzzy Approach to User Attention Recognition. 927-936
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    Thomas Bangert:
    TriangleVision: A Toy Visual System. 937-950
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    Alberto Ferreira de Souza, Claudine Badue, Felipe Pedroni, Elias Oliveira, Stiven Schwanz Dias, Hallysson Oliveira, Sotério Ferreira de Souza:
    Face Recognition with VG-RAM Weightless Neural Networks. 951-960
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    Mathias Franzius, Niko Wilbert, Laurenz Wiskott:
    Invariant Object Recognition with Slow Feature Analysis. 961-970
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    Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton:
    Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. 971-981
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    Pedro Luis Sánchez Orellana, Claudio Castellanos Sánchez:
    A Bio-inspired Connectionist Architecture for Visual Classification of Moving Objects. 982-990
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    Yasuomi D. Sato, Jenia Jitsev, Christoph von der Malsburg:
    A Visual Object Recognition System Invariant to Scale and Rotation. 991-1000
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    Aruna Shenoy, Tim M. Gale, Neil Davey, Bruce Christianson, Ray J. Frank:
    Recognizing Facial Expressions: A Comparison of Computational Approaches. 1001-1010
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    Daniel Weiler, Volker Willert, Julian Eggert:
    A Probabilistic Prediction Method for Object Contour Tracking. 1011-1020

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