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
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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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