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ESANN
2004
13 years 5 months ago
Theory and applications of neural maps
In this tutorial paper about neural maps we review the current state in theoretical aspects like mathematical treatment of convergence, ordering and topography, magnification and o...
Thomas Villmann, Udo Seiffert, Axel Wismüller
ESANN
2000
13 years 5 months ago
A neural network approach to adaptive pattern analysis - the deformable feature map
Abstract. In this paper, we presen t an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach...
Axel Wismüller, Frank Vietze, Dominik R. Ders...
ICCV
2009
IEEE
13 years 1 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela