161 search results - page 18 / 33 » Learning to Map Ontologies with Neural Network |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
CCIW
2009
Springer
14 years 2 months ago
2009
Springer
The paper presents a novel Motor Map neural network for re-indexing color mapped images. The overall learning process is able to smooth the local spatial redundancy of the indexes ...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...
NN
2002
Springer
13 years 7 months ago
2002
Springer
Self-organizing maps (SOMs) are widely used in several fields of application, from neurobiology to multivariate data analysis. In that context, this paper presents variants of the...