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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Cao, W., & Zhao, G. (2007). Coverage in biomimetic pattern recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4482 LNAI, pp. 534–541). Springer Verlag. https://doi.org/10.1007/978-3-540-72530-5_64
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