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	Fast recognition of handwritten digital using Pairwise Coupling support vector machine
	Li, ZY ; Tang, SW ; Wang, H
	2002
关键词	SVM multi-classes Mahalanobis distance PWC
英文摘要	In this paper, a hierarchical structure combining linear classifier based on Mahalanobis distance and Pairwise Coupling (PWC) is proposed to effectively tackle multi-class classification problem. Due to taking advantage of the distribution information of the dataset, both recognition rate and speed are all improved. At the same time, the proposed method can estimate the posterior probabilities of a testing pattern more accurately than classical PWC in multi-class cases. Experimental results on handwritten digital recognition demonstrate our method is effective and efficient.; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1109/IJCNN.2002.1005590
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/407013]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, ZY,Tang, SW,Wang, H. Fast recognition of handwritten digital using Pairwise Coupling support vector machine. 2002-01-01.

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