Advances in Self-Organizing Maps: 7th International Workshop, WSOM 2009, St. Augustine, Florida, June 8-10, 2009. Proceedings

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J.C. Principe, Risto Miikkulainen
Springer Science & Business Media, 27 mai 2009 - 374 pages
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th These proceedings contain refereed papers presented at the 7 WSOM held at the Casa Monica Hotel, St. Augustine, Florida, June 8–10, 2009. We designed the wo- shop to serve as a regular forum for researchers in academia and industry who are interested in the exciting field of self-organizing maps (SOM). The program includes excellent examples of the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and c- puter science as well a vibrant set of theoretical papers that keep pushing the envelope of the original SOM. Our deep appreciation is extended to Teuvo Kohonen and Ping Li for the plenary talks and Amaury Lendasse for the organization of the special sessions. Our sincere thanks go to the members of the Technical Committee and other reviewers for their excellent and timely reviews, and above all to the authors whose contributions made this workshop possible. Special thanks go to Julie Veal for her dedication and hard work in coordinating the many details necessary to put together the program and local arrangements. Jose C. Principe Risto Miikkulainen
 

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Table des matières

BatchLearning SelfOrganizing Map for Predicting Functions of PoorlyCharacterized Proteins Massively Accumulated
1
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
10
SelfOrganizing Map A GraphTheoretical Approach
19
Time Series Clustering for Anomaly Detection Using Competitive Neural Networks
28
Fault Prediction in Aircraft Engines Using SelfOrganizing Maps
37
Incremental FigureGround Segmentation Using Localized Adaptive Metrics in LVQ
45
Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning
54
Gamma SOM for Temporal Sequence Processing
63
SelfOrganizing Maps with Noncooperative Strategies SOMNC
200
Analysis of Parliamentary Election Results and SocioEconomic Situation Using SelfOrganizing Map
209
Application to Handwritten Character Recognition
219
Exploring Their Textural Origin and Their Representational Properties
228
Visualization by Linear Projections as Information Retrieval
237
A Comparative Study
246
On the Finding Process of VolcanoDomain Ontology Components Using SelfOrganizing Maps
255
Elimination of Useless Neurons in Incremental Learnable SelfOrganizing Map
264

Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy cMeans
72
Clustering with Swarm Algorithms Compared to Emergent SOM
80
Cartograms SelfOrganizing Maps and Magnification Control
89
Concept Mining with SelfOrganizing Maps for the Semantic Web
98
ViSOM for Dimensionality Reduction in Face Recognition
107
Early Recognition of Gesture Patterns Using Sparse Code of SelfOrganizing Map
116
BagofFeatures Codebook Generation by SelfOrganisation
124
A Critical and Systematic Study
133
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
145
CareerPath Analysis Using Optimal Matching and SelfOrganizing Maps
154
NetworkStructured Particle Swarm Optimizer with Various Topology and Its Behaviors
163
Representing Semantic Graphs in a SelfOrganizing Map
172
Analytic Comparison of SelfOrganising Maps
182
Modeling the Bilingual Lexicon of an Individual Subject
191
Hierarchical PCA Using TreeSOM for the Identification of Bacteria
272
Optimal Combination of SOM Search in BestMatching Units and Map Neighborhood
281
Application to Financial Database
290
UKR with Structural Hints
298
Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram PulseWave Analysis
307
TopDown Control of Learning in Biological SelfOrganizing Maps
316
Functional Principal Component Learning Using Ojas Method and Sobolev Norms
325
A Computational Framework for Nonlinear Dimensionality Reduction and Clustering
334
The Exploration Machine A Novel Method for Data Visualization
344
Generalized SelfOrganizing Mixture Autoregressive Model
353
An SOMHybrid Supervised Model for the Prediction of Underlying Physical Parameters from NearInfrared Planetary Spectra
362
Author Index
372
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À propos de l'auteur (2009)

Jose C. Principe is Distinguished Professor of Electrical and Biomedical Engineering at the University of Florida, Gainesville, where he is BellSouth Professor and Founder and Director of the Computational NeuroEngineering Laboratory.

Risto Miikkulainen is an Assistant Professor in the Department of Computer Sciences at The University of Texas at Austin.

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