Abstract
The article reports our implementation of a rough set-based incremental learning algorithm involving the application of the hierarchy of probabilistic decision tables to face recognition. The implementation, the related theoretical background such as the basics of the variable precision rough set theory, the algorithm, the classifier structure and experiments with balanced and imbalanced data sets are presented.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Pawlak, Z.: Rough Sets: Theoretical Aspects of Reasoning About Data. Kluwer, Dordrecht (1991)
Ziarko, W.: Variable Precision Rough Sets Model. Journal of Computer and System Sciences 46(1), 39–59 (1993)
Ziarko, W.: Incremental Learning and Evaluation of Structures of Rough Decision Tables. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets IV. LNCS, vol. 3700, pp. 162–177. Springer, Heidelberg (2005)
Zhao, W., Chellpappa, R., Philiips, P.J., Rosenfeld, A.: Face Recognition: A Literature Survey. ACM Computing Surveys 35(4), 399–458 (2003)
Kidera, T., Ozawa, S., Abe, S.: An Incremental Learning Algorithm of Ensemble Classifier Systems. In: 2006 International Joint Conference on Neural Networks, Vancouver, BC, Canada, July 16-21 (2006)
Polikar, R., Upda, L., Upda, S.S., Honavar, V.: Learn++: an Incremental Learning Algorithm for Supervised Neural Networks. IEEE Transactions on Systems, Man and Cybernetics 31(4), 497–508 (2001)
Chen, X., Ziarko, W.: Experiments with Rough Set Approach to Face Recognition. In: Chan, C.-C., Grzymala-Busse, J.W., Ziarko, W.P. (eds.) RSCTC 2008. LNCS (LNAI), vol. 5306, pp. 399–408. Springer, Heidelberg (2008)
Ziarko, W.: Partition Dependencies in Hierarchies of Probabilistic Decision Tables. In: Wang, G.-Y., Peters, J.F., Skowron, A., Yao, Y. (eds.) RSKT 2006. LNCS (LNAI), vol. 4062, pp. 42–49. Springer, Heidelberg (2006)
Linear Models Analyzing Unbalanced Data, Basic Methods, http://faculty.ucr.edu/~hanneman/linear_models/c5.html
Shan, N., Ziarko, W.: Data-Based Acquisition and Incremental Modification of Classification Rules. Computational Intelligence: an International Journal 11(2), 357–370 (1995)
Hariharana, G., Kannana, K., Sharmab, K.R.: Haar Wavelet in Estimating Depth Profile of Soil Temperature. Applied Mathematics and Computation 210(1), 119–125 (2009)
Abatea, A.F., Nappi, M., Riccioa, D., Sabatinoa, G.: 2D and 3D Face Recognition: A Survey. Pattern Recognition Letters 28(14), 1885–1906 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, X., Ziarko, W. (2010). Rough Set-Based Incremental Learning Approach to Face Recognition. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds) Rough Sets and Current Trends in Computing. RSCTC 2010. Lecture Notes in Computer Science(), vol 6086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13529-3_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-13529-3_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13528-6
Online ISBN: 978-3-642-13529-3
eBook Packages: Computer ScienceComputer Science (R0)