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KDA_Plus_KPCA_for_Face_Recognition
- KDA Plus KPCA for Face Recognition.pdf
kpca_toy
- 基于KPCA的模式识别，此程序应用于人脸的识别部分-based kpaca recognition,this is used for face recognition
Desktop
- 本程序实现了用kpca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 kpca realize the expression with face recognition, very accurate results, has the very high recognition result
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- 本程序实现了用pca以及kpca,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 pca and kpca, SVM realize the recognition face expression, very accurate results, has the very high recognition result
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- 本程序用pca和kpca，实现人脸识别，kpca的效果比较不错，识别率为百分之九十-This program with pca and kpca, realize the face recognition, kpca effect is better, recognition rate is ninety percent
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- 本程序用pca和kpca，实现人脸识别，kpca的效果比较不错，识别率为百分之九十一-This program with pca and kpca, realize the face recognition, kpca effect is better, recognition rate is ninety percentone
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- 本程序用pca和kpca，实现人脸识别，kpca的效果比较不错，识别率为百分之九十二-This program with pca and kpca, realize the face recognition, kpca effect is better, recognition rate is ninety-two percent
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- 本程序用pca和kpca，实现人脸识别，kpca的效果比较不错，识别率为百分之九十三-This program with pca and kpca, realize the face recognition, kpca effect is better, recognition rate is ninety-three 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
KPCA(KFD)
- 一个模式识别程序，关于KPCA/KFD的人脸识别程序，MATLAB-Pattern recognition prog, for face reconginition, MATLAB language
kpca
- 核主成分分析，用于轴承故障，人面识别，水位分布等的数据非线性提取。-Kernel principal component analysis for data bearing failure, human face recognition, water distribution and other non-linear extraction.
KPCA-ORL
- 随着人脸识别越来越受到重视，而人脸识别中特征降维又很重要，所以特征降维算法也很重要。因此PCA降维算法很重要-Dimensionality reduction for Face Recognition
KPCA
- 人脸识别的kpca算法，在pca算法的基础上进行了改进，主要是针对yale数据库，可以在其他数据库上使用-The kpca algorithm about face recogniton,it make an improvement with the pca algorithm,the base of the experiment is yale,but can be used on other face