Using Rough Set in Feature Selection and Reduction in Face Recognition Problem

Author:

Bac Le Hoai,Tuan Nguyen Anh

Publisher

Springer Berlin Heidelberg

Reference6 articles.

1. Komorowski, J., Polkowski, L., Skowron, A.: Rough Sets: A Tutorial

2. Swiniarski, R.W.: Rough Set Methods in Feature Reduction and Classification. Int. Appl. Math. Comput. Sci. 11(3), 565–582 (2001)

3. Zhong, N., Dong, J., Ohsuga, S.: Using Rough Sets with Heuristic for Feature Selection. Journal of Intelligent Information System 16, 199–214 (2001)

4. Hoa, N.S., Son, N.H.: Institute of Computer Sciences, Wasaw University, Poland. Some Efficient Algorithms for Rough Set Methods

5. Turk, M., Pentland, A.: Eigenfaces for Recognition (1991)

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1. Variable Precision Approximations of Rough Sets;Encyclopedia of Complexity and Systems Science Series;2023

2. Variable Precision Approximations of Rough Sets;Encyclopedia of Complexity and Systems Science;2021

3. Dependency Analysis and Attribute Reduction in the Probabilistic Approach to Rough Sets;Feature Selection for Data and Pattern Recognition;2014-12-31

4. Feast: face and emotion analysis system for smart tablets;Multimedia Tools and Applications;2014-06-19

5. Evolutionary-Rough Feature Selection for Face Recognition;Lecture Notes in Computer Science;2010

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