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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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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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