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.
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.
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.
使用谐波分析及奇异值分解(SVD)方法分析比较了北太平洋、热带太平洋区域的海气资料及海气相互作用。
Diagnostic analysis and contrast are performed in air-sea data and their interaction between the North Pacific and the Tropical Pacific by means of harmonic analysis and SVD.
本文还就经验正交展开和奇异值分解方法在卫星高度计海面风、浪资料分析中的应用作了初步探时。
In this paper, also the primary applications of EOF and SVD in analyzing satellite altimeter data of sea surface wind and wave is studied.
奇异值分解(SVD)是一种对数据进行降维处理的方法，符号数据分析(SDA)是一种处理海量数据的全新数据分析思路。
Singular Value Decomposition (SVD) is a dimension reduction method, and Symbolic data Analysis (SDA) is a new analytical approach to processing mass data.
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。
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.
理论分析表明，对广义分数低阶空时矩阵进行奇异值分解可获得噪声子空间估计。
Theoretical analysis shows that the matrix FSTM can be used to obtain the estimation of noise subspace.
基于奇异值分解滤波可以有效地分析水平(垂直)方向的图像特性。
Image filtering based on SVD favors the denoising in the line (horizontal) and column (vertical) direction.
基于奇异值分解滤波可以有效地分析水平(垂直)方向的图像特性。
Image filtering based on SVD favors the denoising in the line (horizontal) and column (vertical) direction.
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