1) Minor Component based Kernel Fisher Discriminant (MKFDA)
基于次分量的核Fisher判决分析(MKFDA)
2) kernel fisher discriminant analysis
核Fisher判决分析
3) Kernel Fisher Discriminant (KFDA)
核Fisher判决分析(KFDA)
4) kernel based Fisher discriminant analysis
基于核函数的Fisher判别分析
1.
A method of synthetic aperture radar image target recognition by using kernel based Fisher discriminant analysis and independent component analysis is presented.
提出了一种用基于核函数的Fisher判别分析(kernel based Fisher discriminant analysis,KFD)和独立分量分析(independent component analysis,ICA)特征提取的合成孔径雷达(synthetic aperture radar,SAR)图像目标识别方法。
5) kernel-based Fisher discriminant analysis
基于核的Fisher鉴别分析
1.
The least squares solution of novel discriminant analysis method, based on kernel trick, is equivalent to kernel-based Fisher discriminant analysis.
基于"核技巧"提出的新的非线性鉴别分析方法在最小二乘意义上与基于核的Fisher鉴别分析方法等效,相应鉴别方向通过一个线性方程组得出,计算代价较小,相应分类实现极其简便。
6) Enhanced Kernel Fisher Discriminant (EKFDA)
增强型核Fisher判决分析(EKFDA)
补充资料：核爆炸次声波探测(见核爆炸探测)
核爆炸次声波探测(见核爆炸探测)
nuclear explosion infrasound detection
hebaozha eishengbo tanee核爆炸次声波探测(nueleaf。xplosi。。infrasound deteetion)见核爆炸探坝lJ。
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