20. ICANN 2010:
Thessaloniki,
Greece
Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis (Eds.):
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
- Jiri Grim, Jan Hora:
Computational Properties of Probabilistic Neural Networks.
31-40
- Yakov 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 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 Durackova:
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 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 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 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, 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 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 Dória Neto, Jorge Melo, Allan 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 Jose 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 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
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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