Parameter extraction from population codes: A critical assessment
Neural Computation
Improved propensity matching for heart failure using neural gas and self-organizing maps
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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This paper propose a vector quantization (VQ) technique to solve the problem of handwritten signature verification. A neural 'gas' model is trained to establish a reference set for each registered person with handwritten signature samples. Then a test sample is compared with all the prototypes in the reference set and the system outputs the label of the writer of the word. Several different feature extraction methods are compared and good results have been obtained by the VQ technique.