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。
A new image feature extraction method based on changing image matrices and image principal component analysis (CIMPCA) is proposed in this paper.
在图像主分量分析的基础上，提出了一种基于图像矩阵变换的主分量分析方法。
In the process of test, principal component analysis is used as data preprocessing to extract the feature index from vibration signal statistic features as the input of SVDD classifier.
在测试的过程中，主成分分析作为数据预处理，提取特征指数从振动信号的统计特征作为输入SVDD分类。
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