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pca进行主成分分析的源代码，对人脸识别，超分辨率有很好的作用-pca principal component analysis of the source code
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SVM PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algo
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基于主元分析（pca）的人脸特征提取MATLAB实现。
-Based on principal component analysis (pca) Face Feature Extraction MATLAB implementation.
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这是一个增量主成分分析的VC环境下的C代码程序，希望对大家有帮助！-This is an incremental principal component analysis of C code under VC program, we want to help!
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在spm支持下，对于图像矩阵实现pca主成分分析的程序。经检查正确-In spm support for image matrix to achieve pca principal component analysis procedure. After checking the correct
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compute principal component analysis
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主元分析法的简单程序，可以以此为基础进步发展改进。-Principal component analysis of a simple procedure that can improve as a basis for progress and development.
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This project uses PCA (Principal Component Analysis) to detect face from 2D images.
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principal component analysis
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通过确定特征值所张成的特征空间上的主成分分析方法，确定对确定输出变量间的输入变量的相互影响关系。-By determining the characteristic features of the value of the Zhang space on principal component analysis to determine the output variables in determining the input variables in our cases.
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A very good descr iption on principal component analysis
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PCA(Principal Component Analysis)预处理和最近邻分类程序-the code of Principal Component Analysis
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contain code for principal component analysis
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主成份分析发pca质料，希望对大家有所帮助。-Pca principal component analysis of hair material, we want to help.
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利用主成份分析PCA和傅立叶变换训练图像并用最近邻法进行识别分类-Using principal component analysis PCA and Fourier transform training images and used to identify the nearest neighbor classification method
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主成分分析代码，主要是做已经讲图片转换为像素的TXT文档的降维处理，提取主成分-Principal component analysis code, mainly to do is talk TXT pixel image is converted to reduce the dimension of the document, extracting the principal component
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Principal component analysis for dimension reduction
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PCA主成分分析Matlab源码分析PCA(matlab)-Matlab source code of the principal component analysis
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基于主成分分析实现对特征脸的人脸识别，训练，输出识别率等。-Based on principal component analysis to achieve the characteristics of face recognition, training, recognition rate of the output.
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Principal Component Analysis on the FERET Dataset, 人臉辨識系統使用 PCA 應用在 FERET 人臉資料庫, 提供完整的 matlab 源碼.
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