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» Self-Organizing Fusion Neural Networks
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ICANN
2005
Springer
15 years 5 months ago
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps
We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional ...
Mats Sjöberg, Jorma Laaksonen
ISNN
2005
Springer
15 years 5 months ago
Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
Georg Pölzlbauer, Andreas Rauber, Michael Dit...
APPINF
2003
15 years 1 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
ICDAR
1999
IEEE
15 years 4 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
NN
2006
Springer
113views Neural Networks» more  NN 2006»
14 years 11 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