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1)  2-dimensional kernel discriminant analysis
2维核鉴别分析
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2)  Sampling and regrouping 2-dimensional kernel discriminant analysis
抽样重组2维核鉴别分析
3)  kernel discriminant analysis
核鉴别分析
1.
Then,the Gabor features are extracted with an improved kernel discriminant analysis method in order to solve the singularity problem of kernel within-class scatter matrix which is caused by the small sample size problem of expression recognition.
首先对新生儿面部图像进行Gabor变换,然后针对变换后的Gabor特征,用一种改进的核鉴别分析方法对它进行二次特征提取。
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4)  2-dimensional linear discriminant analysis
2维线性鉴别分析
5)  two-dimensional heteroscedastic discriminant analysis
2维异方差鉴别分析(2DHDA)
1.
On the basis of two-dimensional linear discriminant analysis(2DLDA),a novel discriminant analysis named two-dimensional heteroscedastic discriminant analysis(2DHDA)is introduced,and is used for face recognition.
在2维线性鉴别分析(2DLDA)的基础上,介绍了2维异方差鉴别分析(2DHDA),并将其应用于人脸识别。
6)  two-dimensional linear discriminant analysis
2维线性鉴别分析(2DLDA)
1.
On the basis of two-dimensional linear discriminant analysis(2DLDA),a novel discriminant analysis named two-dimensional heteroscedastic discriminant analysis(2DHDA)is introduced,and is used for face recognition.
在2维线性鉴别分析(2DLDA)的基础上,介绍了2维异方差鉴别分析(2DHDA),并将其应用于人脸识别。
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8

性质：暂无

制备方法：暂无

用途：用于轻、中度原发性高血压。

说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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