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	Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification
	Zhong, Shangping; Chen, Daya; Xu, Qiaofen; Chen, Tianshun
刊名	PATTERN RECOGNITION
	2013
卷号	46页码:2045-2054
关键词	High time efficiency Determined global minimum point Two-class pattern classification Gaussian kernel function Formulated kernel target alignment criterion Fast kernel learning method Euler-Maclaurin formula
ISSN号	0031-3203
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2903023
专题	福州大学
推荐引用方式 GB/T 7714	Zhong, Shangping,Chen, Daya,Xu, Qiaofen,et al. Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification[J]. PATTERN RECOGNITION,2013,46:2045-2054.
APA	Zhong, Shangping,Chen, Daya,Xu, Qiaofen,&Chen, Tianshun.(2013).Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification.PATTERN RECOGNITION,46,2045-2054.
MLA	Zhong, Shangping,et al."Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification".PATTERN RECOGNITION 46(2013):2045-2054.

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