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ORCID7. WSOM 2009: St. Augustine, FL, USA
- José Carlos Príncipe, Risto Miikkulainen:
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, Dietlind 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, Erika Margarita Ramos Michel, Gabriel 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 J. 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, Shigang Li, Masaaki Ohkita:
Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis. 307-315 - Thomas 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
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