7. WSOM 2009:
St. Augustine,
FL,
USA
José Carlos Príncipe, Risto Miikkulainen (Eds.):
Advances in Self-Organizing Maps, 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings.
Lecture Notes in Computer Science 5629 Springer 2009, ISBN 978-3-642-02396-5
- Takashi Abe, Shigehiko Kanaya, Toshimichi Ikemura:
Batch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated.
1-9
- Andreas Andreakis, Nicolai von Hoyningen-Huene, Michael Beetz:
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas.
10-18
- Argyris Argyrou:
Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach.
19-27
- Guilherme De A. Barreto, Leonardo Aguayo:
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks.
28-36
- Marie Cottrell, Patrice Gaubert, Cédric Eloy, Damien François, Geoffroy Hallaux, Jérôme Lacaille, Michel Verleysen:
Fault Prediction in Aircraft Engines Using Self-Organizing Maps.
37-44
- Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ.
45-53
- Hiroshi Dozono, Shigeomi Hara, Shinsuke Ito, Masanori Nakakuni:
Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning.
54-62
- Pablo A. Estévez, Rodrigo Hernández:
Gamma SOM for Temporal Sequence Processing.
63-71
- Tina Geweniger, D. Zühlke, Barbara Hammer, Thomas Villmann:
Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means.
72-79
- Lutz Herrmann, Alfred Ultsch:
Clustering with Swarm Algorithms Compared to Emergent SOM.
80-88
- Roberto Henriques, Fernando Bação, Victor Sousa Lobo:
Cartograms, Self-Organizing Maps, and Magnification Control.
89-97
- Timo Honkela, Matti Pöllä:
Concept Mining with Self-Organizing Maps for the Semantic Web.
98-106
- Weilin Huang, Hujun Yin:
ViSOM for Dimensionality Reduction in Face Recognition.
107-115
- Manabu Kawashima, Atsushi Shimada, Rin-ichiro Taniguchi:
Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map.
116-123
- Teemu Kinnunen, Joni-Kristian Kämäräinen, Lasse Lensu, Heikki Kälviäinen:
Bag-of-Features Codebook Generation by Self-Organisation.
124-132
- Teuvo Kohonen, Ilari T. Nieminen, Timo Honkela:
On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study.
133-144
- Kai Labusch, Erhardt Barth, Thomas Martinetz:
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas.
145-153
- Sébastien Massoni, Madalina Olteanu, Patrick Rousset:
Career-Path Analysis Using Optimal Matching and Self-Organizing Maps.
154-162
- Haruna Matsushita, Yoshifumi Nishio:
Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors.
163-171
- Marshall R. Mayberry, Risto Miikkulainen:
Representing Semantic Graphs in a Self-Organizing Map.
172-181
- Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas Rauber:
Analytic Comparison of Self-Organising Maps.
182-190
- Risto Miikkulainen, Swathi Kiran:
Modeling the Bilingual Lexicon of an Individual Subject.
191-199
- Antonio Neme, Sergio Hernández, Omar Neme, Leticia Hernández:
Self-Organizing Maps with Non-cooperative Strategies (SOM-NC).
200-208
- Pyry Niemelä, Timo Honkela:
Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map.
209-218
- Makoto Otani, Kouichi Gunya, Tetsuo Furukawa:
Line Image Classification by NG×SOM: Application to Handwritten Character Recognition.
219-227
- Choonseog Park, Heeyoul Choi, Yoonsuck Choe:
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties.
228-236
- Jaakko Peltonen:
Visualization by Linear Projections as Information Retrieval.
237-245
- Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene, Marc M. Van Hulle:
Analyzing Domestic Violence with Topographic Maps: A Comparative Study.
246-254
- Jorge Rafael Gutierrez-Pulido, María Andrade-Aréchiga, E. M. R. Michel, G. Reyes, V. Zobin:
On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps.
255-263
- Atsushi Shimada, Rin-ichiro Taniguchi:
Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map.
264-271
- Stephan Simmuteit, Frank-Michael Schleif, Thomas Villmann, Markus Kostrzewa:
Hierarchical PCA Using Tree-SOM for the Identification of Bacteria.
272-280
- Mats Sjöberg, Jorma Laaksonen:
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood.
281-289
- Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse:
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.
290-297
- Jan Steffen, Stefan Klanke, Sethu Vijayakumar, Helge Ritter:
Towards Semi-supervised Manifold Learning: UKR with Structural Hints.
298-306
- Heizo Tokutaka, Yoshio Maniwa, Eikou Gonda, Masashi Yamamoto, Toshiyuki Kakihara, Masahumi Kurata, Kikuo Fujimura, Li Shigang, Masaaki Ohkita:
Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis.
307-315
- Thomas P. Trappenberg, Pitoyo Hartono, Douglas Rasmusson:
Top-Down Control of Learning in Biological Self-Organizing Maps.
316-324
- Thomas Villmann, Barbara Hammer:
Functional Principal Component Learning Using Oja's Method and Sobolev Norms.
325-333
- Axel Wismüller:
A Computational Framework for Nonlinear Dimensionality Reduction and Clustering.
334-343
- Axel Wismüller:
The Exploration Machine - A Novel Method for Data Visualization.
344-352
- Hujun Yin, He Ni:
Generalized Self-Organizing Mixture Autoregressive Model.
353-361
- Lili Zhang, Erzsébet Merényi, William M. Grundy, Eliot F. Young:
An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra.
362-371
Copyright © Sat Nov 21 00:57:56 2009
by Michael Ley (ley@uni-trier.de)