@inproceedings{b1445077d240474383e9de6f5aa90c86,
title = "Comparing decision boundary curvature",
abstract = "Classifier decision boundary is important for classification. By studying 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 difference between classifiers which is useful for designing multiple classifier systems. The effectiveness of this comparison is confirmed by experiments.",
author = "Hui Zhu and Jianhua Huang and Xianglong Tang",
year = "2004",
doi = "10.1109/ICPR.2004.1334563",
language = "英语",
isbn = "0769521282",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "450--453",
booktitle = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004",
address = "美国",
note = "17th International Conference on Pattern Recognition, ICPR 2004 ; Conference date: 23-08-2004 Through 26-08-2004",
}