Variable precision rough set model
Journal of Computer and System Sciences
A Trainable System for Object Detection
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
An Application of Rough Sets and Haar Wavelets to Face Recognition
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Journal of Cognitive Neuroscience
Partition dependencies in hierarchies of probabilistic decision tables
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Rough set-based incremental learning approach to face recognition
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Weak Dependencies in Approximation Spaces
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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The article reports our experiences with the application of the hierarchy of probabilistic decision tables to face recognition. The methodology underlying the classifier development for our experiments is the variable precision rough sets, a probabilistic extension of the rough set theory. The soft-cut classifier method and the related theoretical background, the feature extraction technique based on the principal component analysis and the experimental results are presented.