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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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人脸识别，基于svm算法检测人脸是否配戴眼镜-Face recognition, face detection algorithm based on svm whether to wear glasses
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基于PCA和SVM的人脸识别程序，matlab， ORL库-face recognition code Based on PCA and SVM , matlab， ORL face library
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这是一个SVM分类器，可以实现对人脸的识别，里面有数据库。用的时候要先添加路径。-This is a SVM classifier, can be achieved on the face recognition, which has a . Use the time to add the path.
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Face recognition Using SVM (Support Vector Machine)
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人脸识别 FA和BP网络的预测 LVQ神经网络的预测——人脸识别 SVM分类与回归 Elman神经网络预测-Face recognition, FA and BP network prediction, LVQ neural network prediction- face recognition, SVM classification and regression, Elman neural network prediction
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利用支持向量机进行人脸识别，需要自己下载SVM工具包(Support vector machine for face recognition, you need to download SVM Toolkit)
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Face recognition system using k-nearest neighbour and support vector machine as classifier
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实现人脸识别，分类器用svm,功能非常好，改名易于理解，适合初学者(The realization of face recognition, the classifier uses SVM, the function is very good, the Rename is easy to understand, suitable for the beginner.)
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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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基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
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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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