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Título
Kernel Maximum Likelihood Hebbian Learning
Autor(es)
Assunto
Computer Science
Fecha de publicación
2004
Editor
Springer Science + Business Media
Citación
Lecture Notes in Computer Science Computational Science - ICCS 2004. Lecture Notes in Computer Science. Volumen 3037, pp. 650-653.
Resumen
We present a novel method based on a recently proposed extension to a negative feedback network which uses simple Hebbian learning to self-organise called Maximum Likelihood Hebbian learning [2]. We use the kernel version of the ML algorithm on data from a spectroscopic analysis of a stained glass rose window in a Spanish cathedral. It is hoped that in classifying the origin and date of each segment it will help in the restoration of this and other historical stain glass windows.
URI
ISBN
978-3-540-22115-9 (Print) / 978-3-540-24687-9 (Online)
ISSN
0302-9743 (Print) / 1611-3349 (Online)
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- BISITE. Congresos [288]