DocumentCode
419792
Title
Comparing decision boundary curvature
Author
Zhu, Hui ; Huang, Jianhua ; Tang, Xianglong
Author_Institution
Pattern Recognition Center, Harbin Inst. of Technol., China
Volume
3
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
450
Abstract
Classifier decision boundary is important for classification. By studying the properties of decision boundary, we can predict the classifier´s performance. An algorithm of comparing classifiers´ decision boundary curvature is introduced in this paper. Geometrical methods are used to carry out the comparison. This comparison can be used to measure the difference between classifiers which is useful for designing multiple classifier systems. The effectiveness of this comparison is confirmed by experiments.
Keywords
geometry; pattern classification; classifier decision boundary curvature; geometrical methods; multiple classifier systems; Adhesives; Area measurement; Joining processes; Pattern recognition; Shape measurement; Supervised learning; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334563
Filename
1334563
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