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ESANN
1997
8 years 5 months ago
Neuronal theories and technical systems for face recognition
I present various systems for the recognition of human faces. They consist of three steps: feature extraction, solving the correspondence problem, and the actual comparison with st...
Rolf P. Würtz
ESANN
1997
8 years 5 months ago
Extraction of crisp logical rules using constrained backpropagation networks
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
ESANN
1997
8 years 5 months ago
Neural network cooperation for handwritten digit recognition: a comparison of four methods
In this paper we focus on "off-line digit recognition" with anknown scriptor. After presenting two neural recognisers, we evaluate four solutions to combine results obta...
Yvon Autret, Andre Thepaut
ESANN
1997
8 years 5 months ago
Kohonen maps versus vector quantization for data analysis
Besides their topological properties, Kohonen maps are often used for vector quantization only. These auto-organised networks are often compared to other standard and/or adaptive v...
Eric de Bodt, Michel Verleysen, Marie Cottrell
ESANN
2000
8 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...
ESANN
2000
8 years 5 months ago
Analytical comparison of the Temporal Kohonen Map and the Recurrent Self Organizing Map
The basic SOM is indi erent to the ordering of the input patterns. Real data, however, is often sequential in nature thus context of a pattern may signi cantly in uence its correc...
Markus Varsta, Jukka Heikkonen, Jouko Lampinen
ESANN
2000
8 years 5 months ago
Local input-output stability of recurrent networks with time-varying weights
Abstract. We present local conditions for input-output stability of recurrent neural networks with time-varying parameters introduced for instance by noise or on-line adaptation. T...
Jochen J. Steil
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