Genetic algorithms for classifiers' training sets optimisation applied to human face recognition

• Autorzy: Kawulok M.
• Języki publikacji: EN

Abstrakty

EN

Human face recognition is a multi-stage process within which many classification problems must be solved. This is performed by learning machines which elaborate classification rules based on a given training set. Therefore, one of the most important issues is selection of a training set which would properly represent the data that will be further classified. This paper presents an approach which utilizes genetic algorithms for selecting classifiers' training sets. This approach was implemented for the Support Vector Machines which is applied in two areas of automatic human face recognition: face verification and feature vectors comparison. Effectiveness of the presented concept was confirmed with appropriate experiments which results are described in this paper.

Słowa kluczowe

EN

support vector machine; genetic algorithms; human face recognition

PL

maszyna wektorów nośnych; algorytmy genetyczne; rozpoznawanie twarzy człowieka

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2007
• Tom: Vol. 11
• Strony: 135--143
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Kawulok M.

• Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-100 Gliwice, Poland

Bibliografia

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