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是重庆维普资源库里的一些关于SVM人脸识别一些比较新的论文,最研究SVM人脸识别有很大参考价值。-Chongqing VIP resource library of some of the more about the new SVM face recognition papers, most of SVM face recognition is very valuable.
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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
nine 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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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-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is ninety 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,分辨率为百分之八十九-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is eighty-nine 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,分辨率为百分之八十八-This program with kpca, PLS, SVM to achieve face recognition, the facial expression distinguish effect is obvious, the resolution is eighty-eight percent
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进行人脸识别,提取男女性别特征,年龄特征,并且运用了支持向量机的方法进行识别-For face recognition, extraction gender characteristics, age characteristics, and using support vector machine (SVM) method to recognize
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5-fold cross valication for Face recognition using PCA, SVM and KNN.
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人脸识别系统
PCA降维, SVM 分类, 40*10人脸数据库
对机器视觉 智能识别有帮助
-face recognition
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SVM分类器,可用于人脸识别,机器学习等。-Texture feature extraction, and classification, SVM classifier is.Can be used for face recognition, machine learning, etc.
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基于HMM和SVM分类器的人脸识别系统,非常强大-Face recognition using Hidden Markov Models (HMM) and SVM features for education and study.
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基于PSO训练SVM的人脸识别利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径 已通过测试。
-Good performance, performance in the ability to learn the use of support vector machines based on PSO training SVM face recognition combined
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pca + svm人脸识别代码
图片目录需要自己修改-the pca+ svm Face Recognition code picture directory need to modify
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