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» EM Algorithms for Self-Organizing Maps
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ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
15 years 2 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
75
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APPINF
2003
14 years 11 months ago
An Adaptive Color Segmentation Algorithm for Sony Legged Robots
This paper presents an adaptive colour segmentation algorithm for Sony legged robots to play a football game. A Self-Organizing Map (SOM) is adopted to measure the current lightin...
Bo Li, Huosheng Hu, Libor Spacek
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 2 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
ICPR
2006
IEEE
15 years 10 months ago
Texture Edge Detection using Multi-resolution Features and SOM
Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1-D multi-channel, multiresolution...
Lalit Gupta, Sukhendu Das
NN
2006
Springer
113views Neural Networks» more  NN 2006»
14 years 9 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter