Rough set-based incremental learning approach to face recognition

Authors:
Xuguang Chen;Wojciech Ziarko
Affiliations:
Department of Computer Science, University of Regina, Regina, SK, Canada;Department of Computer Science, University of Regina, Regina, SK, Canada
Venue:
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Year:
2010

Citing 8
Cited 1

Variable precision rough set model

Journal of Computer and System Sciences
Rough Sets: Theoretical Aspects of Reasoning about Data

Rough Sets: Theoretical Aspects of Reasoning about Data
Face recognition: A literature survey

ACM Computing Surveys (CSUR)
2D and 3D face recognition: A survey

Pattern Recognition Letters
Experiments with Rough Set Approach to Face Recognition

RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Partition dependencies in hierarchies of probabilistic decision tables

RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Incremental learning and evaluation of structures of rough decision tables

Transactions on Rough Sets IV
Learn++: an incremental learning algorithm for supervised neuralnetworks

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

Weak Dependencies in Approximation Spaces

Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday

Quantified Score

Hi-index	0.00

Visualization

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.