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ORCID20. ICANN 2010: Thessaloniki, Greece
- Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis:
Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6354, Springer 2010, ISBN 978-3-642-15824-7
Classification - Pattern Recognition
- Elina Parviainen:
Deep Bottleneck Classifiers in Supervised Dimension Reduction. 1-10 - Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
, Oscar Fontenla-Romero:
Local Modeling Classifier for Microarray Gene-Expression Data. 11-20 - Christian Keck, Jörg Lücke:
Learning of Lateral Connections for Representational Invariant Recognition. 21-30 - Jirí Grim, Jan Hora:
Computational Properties of Probabilistic Neural Networks. 31-40 - Yakov M. Karandashev, Boris Kryzhanovsky, Leonid B. Litinskii:
Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix. 41-51 - Eleonora Vig, Michael Dorr, Thomas Martinetz, Erhardt Barth:
A Learned Saliency Predictor for Dynamic Natural Scenes. 52-61 - Manuel Martín-Merino:
Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge. 62-71 - Urs Bergmann, Christoph von der Malsburg:
A Bilinear Model for Consistent Topographic Representations. 72-81 - Dominik Scherer, Hannes Schulz, Sven Behnke:
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors. 82-91 - Dominik Scherer, Andreas C. Müller, Sven Behnke:
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition. 92-101 - Hiroaki Hasegawa, Masafumi Hagiwara:
Visual Shape Recognition Neural Network Using BESOM Model. 102-105 - Antonio García-Manso, Carlos J. García Orellana, Horacio M. González Velasco, Miguel Macías Macías, Ramón Gallardo Caballero:
Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem. 106-109 - Masato Yonekawa, Hiroaki Kurokawa:
The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition. 110-113 - Roman Záluský, Emil Raschman, Mário Krajmer, Daniela Duracková:
The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet. 114-117 - Jun Wu, Xin Wang, Xiaodong Lee, Baoping Yan:
Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier. 118-123 - Mateusz Kobos, Jacek Mandziuk:
Classification Based on Multiple-Resolution Data View. 124-129 - Achilleas Zapranis, Prodromos Tsinaslanidis:
Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks. 130-136 - Araken M. Santos, Laura Emmanuella A. Santana, Anne M. P. Canuto:
Analyzing Classification Methods in Multi-label Tasks. 137-142 - Rikke Amilde Løvlid, Pinar Öztürk:
Learning Bimanual Coordination Patterns for Rhythmic Movements. 143-148 - Leonardo Alfredo Forero Mendoza, Edson Cataldo, Marley M. B. R. Vellasco, Marco Silva:
Classification of Voice Aging Using Parameters Extracted from the Glottal Signal. 149-156
Learning Algorithms and Systems
- Marko Tscherepanow:
TopoART: A Topology Learning Hierarchical ART Network. 157-167 - Frank Sehnke, Christian Osendorfer, Jan Sölter, Jürgen Schmidhuber, Ulrich Rührmair:
Policy Gradients for Cryptanalysis. 168-177 - Pablo A. Vera, Pablo A. Estévez, José Carlos Príncipe:
Linear Projection Method Based on Information Theoretic Learning. 178-187 - Marco Kortkamp, Sven Wachsmuth:
Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas. 188-197 - Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
An Efficient Collaborative Recommender System Based on k-Separability. 198-207 - Asja Fischer, Christian Igel:
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines. 208-217 - Marco Maggini, Tiziano Papini:
Multitask Semi-supervised Learning with Constraints and Constraint Exceptions. 218-227 - Hendrik Annuth, Christian-A. Bohn:
Tumble Tree - Reducing Complexity of the Growing Cells Approach. 228-236 - Donatella Muratore, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Sentence Extraction by Graph Neural Networks. 237-246 - Michaël Garcia Ortiz, Benjamin Dittes, Jannik Fritsch, Alexander Rainer Tassilo Gepperth:
Autonomous Generation of Internal Representations for Associative Learning. 247-256 - Marcin Blachnik, Wlodzislaw Duch:
Improving Accuracy of LVQ Algorithm by Instance Weighting. 257-266 - Jason T. Rolfe, Matthew Cook:
Multifactor Expectation Maximization for Factor Graphs. 267-276 - Ning Chen, Bernardete Ribeiro, Armando Vieira, João M. M. Duarte, João Carvalho das Neves:
Weighted Learning Vector Quantization to Cost-Sensitive Learning. 277-281 - Jau-Chi Huang, Cheng-Yuan Liou:
Solution Space of Perceptron. 282-285 - Tsukasa Sagara, Masafumi Hagiwara:
Natural Language Processing Neural Network for Recall and Inference. 286-289 - Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito:
Nominally Conditioned Linear Regression. 290-293 - Lukasz Laskowski:
A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process. 294-297 - Mathias Franzius, Heiko Wersing:
Learning Invariant Visual Shape Representations from Physics. 298-302 - Boyan Lalov:
Algorithms Creating Algorithms. 303-308 - Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodaira:
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap. 309-314 - Marco Gori, Stefano Melacci:
Learning with Convex Constraints. 315-320 - Takashi Takenouchi, Kazushi Ikeda:
Theoretical Analysis of Cross-Validation(CV)-EM Algorithm. 321-326 - Volodymyr Turchenko, Lucio Grandinetti:
Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm. 327-332 - Nikolaos Tsapanos, Anastasios Tefas, Ioannis Pitas:
Dynamic Shape Learning and Forgetting. 333-338 - Kazuyuki Hara, Katsuya Ono, Seiji Miyoshi:
On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin. 339-344 - Julien Hirel, Philippe Gaussier, Mathias Quoy:
Model of the Hippocampal Learning of Spatio-temporal Sequences. 345-351 - Mikel Larrea-Sukia, Eloy Irigoyen, Vicente Gómez:
Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control. 352-357
Computational Intelligence
- Giorgio Gnecco, Vera Kurková, Marcello Sanguineti:
Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. 358-367 - Hiroaki Yamane, Masafumi Hagiwara:
A Funny Proverb Generation System Based on Sukashi. 368-377 - Hassan B. Kazemian, Guillaume F. Remy, Phil D. Picton:
Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth. 378-386 - Rakia Jaziri, Khalid Benabdeslem, Haytham Elghazel:
A Graph Based Framework for Clustering and Characterization of SOM. 387-396 - Daniel de Araújo, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de Medeiros Martins:
Clustering Using Elements of Information Theory. 397-406 - Noriko Takemura, Yutaka Nakamura, Yoshio Matsumoto, Hiroshi Ishiguro:
A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction. 407-410 - Yuichi Nakamura, Masahiro Nakagawa:
Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions. 411-416 - Stelios Petrakis, Anastasios Tefas:
Neural Networks Training for Weapon Selection in First-Person Shooter Games. 417-422 - Abner Rodrigues Neto, Mauro Roisenberg, Guenther Schwedersky Neto:
Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data. 423-428 - Nicholas Ampazis:
Large Scale Problem Solving with Neural Networks: The Netflix Prize Case. 429-434 - Yiu-ming Cheung, Hong Jia:
A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering. 435-440 - Carlos Affonso, Renato José Sassi:
A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network. 441-450
IEM3 Workshop
- Ioannis N. Athanasiadis, Andrea Emilio Rizzoli, Daniel W. Beard:
Data Mining Methods for Quality Assurance in an Environmental Monitoring Network. 451-456 - Ioannis Kyriakidis, Kostas D. Karatzas, George Papadourakis:
Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece. 457-463 - Nikolaos E. Mitrakis, Kostas D. Karatzas, Siegfried Jaeger:
Investigating Pollen Data with the Aid of Fuzzy Methods. 464-470 - Enrique Mérida Casermeiro, Gabriel Aguilera Venegas, José Luis Galán García, Pedro Rodríguez Cielos:
A New Neural Model for Traffic Simulation. 471-476 - Thanos G. Stavropoulos, Ageliki Tsioliaridou, George Koutitas, Dimitris Vrakas, Ioannis P. Vlahavas:
System Architecture for a Smart University Building. 477-482 - Jaroslav Urbánek, Karel Brabec, Ladislav Dusek, Ivan Holoubek, Jirí Hrebícek, Miroslav Kubásek:
Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants. 483-488 - Luca Mesin, Fiammetta Orione, Riccardo Taormina, Eros Pasero:
A Feature Selection Method for Air Quality Forecasting. 489-494
CVA Workshop
- Stephen Grossberg:
How Do Attention, Intention, and Consciousness Interact? 495 - John G. Taylor:
Consciousness versus Attention. 496-503 - Li Su, Philip J. Barnard, Howard Bowman:
On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions. 504-509 - Alexander Pastukhov, Victoria Vonau, Jochen Braun:
No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance. 510-515 - Roseli Suzi Wedemann, Luís Alfredo V. de Carvalho, Raul Donangelo:
Modelling Neurotic Psychopathology: Memory, Attention and Symbolization. 516-520
SOINN Workshop
- Kazuhiro Yamasaki, Naoya Makibuchi, Furao Shen, Osamu Hasegawa:
How to Use the SOINN Software: User's Guide (Version 1.0). 521-527 - Sirinart Tangruamsub, Manabu Tsuboyama, Aram Kawewong, Osamu Hasegawa:
Unguided Robot Navigation Using Continuous Action Space. 528-534 - Furao Shen, Osamu Hasegawa:
Self-Organizing Incremental Neural Network and Its Application. 535-540 - Shogo Okada, Osamu Hasegawa, Toyoaki Nishida:
Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network. 541-550 - Naoya Makibuchi, Furao Shen, Osamu Hasegawa:
Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots. 551-556 - Hirotaka Inoue:
Incremental Learning Using Self-Organizing Neural Grove. 557-562 - Aram Kawewong, Osamu Hasegawa:
Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes. 563-568
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