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针对主成分分析仅以数据符合高斯分布为前提，本程序可以对符合贝努力分布的二值序列进行主成分分析-binary principle component analysis
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One of Biometrics fields is face recognition & face expression recognition ...
1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Tr
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code for face recognition using pca(principle component analysis) .a good code sor reaserch.
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This file implement PCA algorithm for dimension reduction and clustering techniques.
Principle Component Analysis, Dimension reduction, Clustering.
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Principle Component Analysis
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Two dimensional principle component Analysis...applied for face images-Two dimensional principle component Analysis...applied for face images..!!
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Image fusion is a process which combines the data from two or more source images from the same scene to
generate one single image containing more precise details of the scene than any of the source images. Among
many image fusion methods like ave
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Principle Component Analysis
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principle component analysis methods for matlab wokspace.
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calculation algorithm for principle component analysis based kernel of any image database.
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code for principle component analysis based face recognition system
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非下采样轮廓波变换域与二维主成分分析结合-nonsubsambled contourlet transform and two dimensional principle component analysis
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非下采样轮廓波变换与二维主分量分析的循环模式计算-nonsubsambled contourlet transform and two dimensional principle component analysis cycle module calculation
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非下采样轮廓波变换与二维主分量分析循环模式进行局部计算-nonsubsambled contourlet transform and two dimensional principle component analysis cycle module calculation local feature
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非降采样轮廓波与二维主成分分析采用循环模式计算无符号局部特征-nonsubsambled contourlet transform and two dimensional principle component analysis cycle module calculation no sign local feature
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主成分分析，主成分分析原理介绍及简单应用-Principle component analysis
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Principle component analysis PCA
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主分量分析，用于对脑电信号的判别分析，也可用于其他的二分类分析。-the classifier of principle component analysis,using for EEG and binary classification
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利用主成分分析和K-means聚类实现聚类的Matlab算法-principle component analysis and then use k-means clustering algorithm to realize the clustering
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face recognition by using principle component analysis
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