线性判别分析 meaning in Chinese

linear discriminant analysis

A face - recognition algorithm based on fisher linear discriminant analysis is studied in detail which combines principal component analysis ( pca ) based eigenface method and linear discriminant analysis ( lda ) method
该方法将基于主成分分析( pca )的特征脸方法和基于线性判别分析( lda )的分类方法有机的结合起来。
The basic mission of feature extraction is to identify a set of features that are most effective for subsequent classification task from a set of candidate features . the state of the art in feature extraction methods includes statistics - based methods ( e . g
现有的特征提取方法主要有基于统计的特征提取(主分量分析( pca )和fisher线性判别分析( flda )是两种最常用的方法) 、基于知识的特征提取及基于神经网络的特征提取等。
To retrieval directly information with images , by using the face detection technique based on the gravity - center template matching method and the face recognition technique based on methods of the principal component analysis and the linear discriminative analysis
摘要为了能直接通过图像检索自己所需要的信息，提出了一种直接根据人脸图像来检索信息的技术，采用基于重心模板匹配的人脸检测技术与主成分分析方法、线性判别分析方法相结合的人脸识别技术设计并实现了一个人脸图像检索系统。