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WSOM
2009
Springer
14 years 6 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...
WSOM
2009
Springer
14 years 6 months ago
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
Kai Labusch, Erhardt Barth, Thomas Martinetz
WSOM
2009
Springer
14 years 6 months ago
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties
In our earlier work, we found that feature space induced by tactile receptive fields (TRFs) are better than that by visual receptive fields (VRFs) in texture boundary detection t...
Choonseog Park, Heeyoul Choi, Yoonsuck Choe
WSOM
2009
Springer
14 years 6 months ago
Fault Prediction in Aircraft Engines Using Self-Organizing Maps
Marie Cottrell, Patrice Gaubert, Cédric Elo...
WSOM
2009
Springer
14 years 6 months ago
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
WSOM
2009
Springer
14 years 6 months ago
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database
Abstract. This paper presents a new methodology for missing value imputation in a database. The methodology combines the outputs of several Self-Organizing Maps in order to obtain ...
Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul...
WSOM
2009
Springer
14 years 6 months ago
Top-Down Control of Learning in Biological Self-Organizing Maps
This paper discusses biological aspects of self-organising maps (SOMs) which includes a brief review of neurophysiological findings and classical models of neurophysiological SOMs...
Thomas P. Trappenberg, Pitoyo Hartono, Douglas Ras...
WSOM
2009
Springer
14 years 6 months ago
Bag-of-Features Codebook Generation by Self-Organisation
Bag of features is a well established technique for the visual categorisation of objects, categories of objects and textures. One of the most important part of this technique is co...
Teemu Kinnunen, Joni-Kristian Kämärä...
WSOM
2009
Springer
14 years 6 months ago
Analytic Comparison of Self-Organising Maps
Abstract. SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisation...
Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas...
WSOM
2009
Springer
14 years 6 months ago
Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map
The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesisdriven statistical analysis of some numerical data. ...
Pyry Niemelä, Timo Honkela