Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.
传统的特征提取方法主要有：主分量分析、奇异值分解、投影追踪、自组织映射等。
A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.
提出了奇异值分解(SVD)和主分量分析(PCA)相结合的人脸识别算法。
Here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication.
其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。
Stress intensity factor indicates the strength of the singular stress field at crack-tip, it is the basis of studying the law of crack propagating and the strength of the component with crack.
应力强度因子表征了裂纹尖端奇异应力场的强度，它是研究裂纹扩展规律和带裂纹构件强度的基础。
Because the separation for GISE is an almost singular regression problem, the classic least square method and principal component method are not satisfactorily for solving the problem.
由于工具误差分离存在着很强的复共线性，传统的最小二乘方法与主成分方法不能很好的解决这一问题。
Because the separation for GISE is an almost singular regression problem, the classic least square method and principal component method are not satisfactorily for solving the problem.
由于工具误差分离存在着很强的复共线性，传统的最小二乘方法与主成分方法不能很好的解决这一问题。
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