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Linux环境下的人脸识别程序，他的核心算法是svm网络识别。-Linux environment Face Recognition procedures, the core algorithm is svm network identification.
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基于matlab的PCA人脸识别完成程序，包含特征值与特征向量的提取、训练样本以复制到matlab即可，成功运行，及最后的识别检验-A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition
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《数字图像处理与机器视觉:Visual C++与Matlab实现》7
V图像的点运算,几何变换, 图像增强,彩色图像处理,实用案例——汽车牌照的投影失真校正-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Re
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Matlab环境下，实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。-Face recognition via PCA and SVM method
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人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等-Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA
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介绍了基于2DPCA和SVM支持向量机的方法来进行人脸识别-2DPCA and introduced based on support vector machine SVM method for face recognition
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lle和svm 的人脸识别算法代码，识别率可以打到80以上。-lle and SVM for face recognition algorithm code, the recognition rate can reach 80 or more.
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lle和svm 的人脸识别算法代码，识别率可以打到80以上。-lle and SVM for face recognition algorithm code, the recognition rate can reach 80 or more.
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基于不定核的SVM人脸识别算法，该算法改正的传统的核对现实当中存在的不确定的问题-Face recognition based on uncertain nuclear SVM algorithm to correct the traditional check reality the problem of the existence of uncertainty. .
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Gabor与svm的人脸识别程序，能够运行，七个文件 写的不错 很有参考价值 先分类 后识别人脸-Gabor face recognition with svm program to run, seven documents useful reference for writing a good face recognition after the first classification
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本程序实现了用svm实现人脸表情的识别，很精确的结果，具有很高的识别效果-This application implements with face recognition of the SVM realize expression, very accurate results, has the very high recognition result
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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十七-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-seven percent
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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十五-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-five percent
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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十四-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-four percent
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This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-four percent
-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguis
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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十二-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-two percent
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本程序用kpca，pls，svm来实现人脸识别，表情分辨效果明显，分辨率为百分之九十一-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety-one percent
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人脸识别，降维 加分类，主成分分析降维，支持向量机分类(Face recognition, principal component analysis reduced Vega classification, dimension reduction, support vector machine classification)
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基于python的使用SVM的算法实现人脸的识别程序(Face recognition program based on Python based algorithm using SVM)
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利用主成份分析 SVM 实现 人脸识别(Using principal component analysis SVM to realize face recognition)
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