Coverage in Biomimetic Pattern Recognition

Authors:
Wenming Cao;Guoliang Zhao
Affiliations:
Intelligent Information Processing Key Laboratory, Shenzhen University, Shenzhen 518060, China and Institute of Semiconductors of Chinese Academy of Science, Beijing 100083, China;Institute of Semiconductors of Chinese Academy of Science, Beijing 100083, China
Venue:
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Year:
2009

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Abstract

Coverage is a kind of method to cover points of same class samples in feature space, which is based on Biomimetic Pattern Recognition. The mathematical description of coverage is given and the discriminant boundary of coverage is shown. Coverage is tested in face recognition on ORL database. Both the COVERAGE and SVM networks are used for covering. The results show that COVERAGE act better than SVM in generalization, especially for small sample set, which are consonant with the result of the applications of BPR.