1) Kernel Optimal Discriminant Plane
核判别面
2) kernel Fisher discriminant
核Fisher判别
1.
Speaker verification using PCA and kernel Fisher discriminant;
基于PCA和核Fisher判别的说话人确认
4) KFDA
核Fisher判别法
1.
KFDA(Kernel Fisher Discriminant Analysis) usually adopts the Gauss radial basis function as its kernel function for mode classification,in which the selection of parameter influences the result greatly.
核Fisher判别法KFDA(Kernel Fisher Discriminant Analysis)在模式分类应用中通常采用高斯径向基函数做核函数,但高斯径向基函数中参数σ的选取对模式分类的效果影响较大。
5) kernel discriminant analysis
核判别分析
1.
Based on the idea of subspace projection,an optimal kernel discriminant analysis(OKDA) is given and used to extract features from a range profile.
核判别分析(KDA)是一种抽取非线性特征的有效方法,但它会因为奇异性问题而难以求解。
2.
In this paper,a facial expression recognition method based on feature fusion and fuzzy kernel discriminant analysis (FKDA)is proposed.
提出了基于特征融合和模糊核判别分析(FKDA)的面部表情识别方法。
6) defect area discriminant
面积判别法
补充资料：地（水）面核爆炸(di
见核武器爆炸方式。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条