Conference paper

BIDLO Michal and VAŠÍČEK Zdeněk. On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems. In: Genetic Programming, 17th European Conference, EuroGP 2014. Berlin: Springer Verlag, 2014, pp. 234-245. ISBN 978-3-662-44302-6. Available from: http://link.springer.com/chapter/10.1007/978-3-662-44303-3_20
Publication language:english
Original title:On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems
Title (cs):Evoluční návrh klasifikátorů vhodných pro vestavěné systémy
Pages:234-245
Proceedings:Genetic Programming, 17th European Conference, EuroGP 2014
Conference:17th European Conference on Genetic Programming
Series:LNCS 8599
Place:Berlin, DE
Year:2014
URL:http://link.springer.com/chapter/10.1007/978-3-662-44303-3_20
ISBN:978-3-662-44302-6
Publisher:Springer Verlag
Keywords
cartesian genetic programming, pattern classifier, handwritten digit recognition
Annotation
This paper addresses the problem of evolutionary design of classifiers for the recognition of handwritten digit symbols by means of Cartesian Genetic Programming. Two different design scenarios are investigated - the design of multiple-output classifier, and design of multiple binary classifiers. The goal is to evolve classification algorithms that employ substantially smaller amount of operations in contrast with conventional approaches such as Support Vector Machines. Even if the evolved classifiers do not reach the accuracy of the tuned SVM classifier, it will be shown that the accuracy is higher than 93% and the number of required operations is a magnitude lower.
BibTeX:
@INPROCEEDINGS{
   author = {Michal Bidlo and Zden{\v{e}}k Va{\v{s}}{\'{i}}{\v{c}}ek},
   title = {On Evolution of Multi-Category Pattern Classifiers Suitable
	for Embedded Systems},
   pages = {234--245},
   booktitle = {Genetic Programming, 17th European Conference, EuroGP 2014},
   series = {LNCS 8599},
   year = {2014},
   location = {Berlin, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-662-44302-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10482}
}

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