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人脸识别中特征提取matlab源码，LDA，-Face Recognition feature extraction Matlab source, LDA.
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线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
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线性差别分析法（LDA）提取人脸图像特征点子程序-Linear differential analysis (LDA) face image feature extraction process ideas
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lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。-lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.
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首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
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本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方
法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm se
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Latent Dirichlet Allocation算法的matlab实现，里面包含了特征提取，归一化，LDA等算法-Latent Dirichlet Allocation algorithm matlab realize, which contains the feature extraction, normalization, LDA algorithm
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人脸识别程序，包括PCA，LDA特征提取，内含GUI界面，数据库生产，识别率等-Face recognition program, including PCA, LDA feature extraction, contains GUI interface, database production, recognition rate
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在LDA算法基础上优化的OLDA算法，用于特征提取、降维等-In LDA algorithm based on the optimization of OLDA algorithm for feature extraction, dimensionality reduction, etc.
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