1) Linear Fisher Discriminant Analysis(FDA)
线性Fisher判决分析
2) Fisher linear discriminant analysis(FLDA)
Fisher线性判决分析
1.
To solve the small sample size(SSS) problem of Fisher linear discriminant analysis(FLDA) when it is applied to image recognition tasks,a novel image feature extraction technique is proposed which is called two-directional two-dimensional maximum clustering-based scatter difference((2D)2MCSD) discriminant analysis.
针对Fisher线性判决分析(FLDA)在图像识别应用中遇到的小样本问题,提出了两向二维最大子类散度差((2D)2MCSD)鉴别分析的图像特征提取方法。
3) Fisher linear discriminant analysis
Fisher线性判别分析
1.
Finally,Fisher linear discriminant analysis is employed for classification.
首先,对原始光谱进行四级小波分解,选择主要包含谱线信息的第四级小波系数作为光谱的小波特征;然后,利用主分量分析对光谱的小波特征进行特征压缩,得到光谱的识别特征;最后,利用Fisher线性判别分析实现分类。
2.
In this paper, a method for color face recognition is presented, this algorithm extracts the final features by utilizing the techniques of the simulative K-L transform, the singular value decomposition, the principal component analysis and the Fisher linear discriminant analysis.
该算法采用模拟K-L变换、奇异值分解、主分量分析和Fisher线性判别分析技术来提取最终特征,可以使分类器的设计更加简洁、有效,使用较少的特征向量数目就能取得较高的识别率。
4) kernel fisher discriminant analysis
核Fisher判决分析
5) Kernel Fisher Discriminant (KFDA)
核Fisher判决分析(KFDA)
6) Fisher Linear Discriminant
Fisher线性判决函数
1.
Research of License Plate Location Algorithm Based on Principal Component Analysis and Fisher Linear Discriminant;
基于主成分分析和Fisher线性判决函数的车牌定位算法的研究
补充资料：多元线性回归分析
在线性相关条件下，研究两个或两个以上自变量对一个因变量的数量变化关系，称为多元线性回归分析。
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