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。

Classical feature extraction methods include: Principle Component Analysis, Singular Value Decomposition, Projection Pursuit, Self-Organizing Map, and so on.

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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。

A face recognition method based on the fusion of principal component analysis (PCA) and singular value decomposition (SVD) is presented.

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介绍了基于动态系统可观测性矩阵奇异值分解的状态变量可观测度的分析方法。

The method of analyzing the observable degree of the state variable has been introduced by means of the singular value decomposition (SVD) of the observable matrix of a dynamic system.

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