其中Fisher脸方法又称为线性判别分析方法(Linear Discrimalate AnMysis,LDA),它选择以类内散布正交的矢量作为特征脸空问,从而能 压制图像之间的与识别信息无关的差异,对光照及人脸...
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实证分析结果表明:其一,我国上市公司财务比率不服从正态分布,因而不适宜使用多元线性判别分析方法建立财务危机预测模型;
The results are as the following: firstly, financial ratios aren't identical to the normal distribution, so it's not suitable to conduct the early-warning model by Linear Multiple Discrimant Analysis.
线性判别分析是一种较为普遍的用于特征提取的线性分类方法。
Analysis is one of the most popular linear classification techniques for feature extraction.
采用LBP算法与直接线性判别分析算法相结合的人耳特征提取方法在识别率方面与原始图像特征提取方法相比有明显提升。
The algorithm based on LBP and direct linear discriminant analysis have distinct advance than the extraction algorithm using the original image in recognition rate.
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