Using rough set in feature selection and reduction in face recognition problem

Authors:
Le Hoai Bac;Nguyen Anh Tuan
Affiliations:
Faculty of Information Technology, University of Natural Sciences, HCM City, Vietnam;Faculty of Information Technology, University of Natural Sciences, HCM City, Vietnam
Venue:
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Year:
2005

Citing 1
Cited 1

Using Rough Sets with Heuristics for Feature Selection

Journal of Intelligent Information Systems

Evolutionary-rough feature selection for face recognition

Transactions on rough sets XII

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Abstract

Feature selection and reduction are fundamental steps in pattern recognition problems. The idea of reducts in rough set theory has encouraged many researchers in studying the effectiveness of rough set theory in the problem mentioned above. Through results of experiments in this article, we will show that rough set theory, accompanied by appropriate heuristics, can increase significantly the system's recognition accuracy.