搜索资源列表
kpca
- KPCA的提出者亲自写的程序。是一份很值得收藏的经典代码。-KPCA the author himself procedures. It is a very worthwhile collection of classic code.
KPCA_SVM_Train
- 人脸识别程序SVM，matlab的……初次上传多多指教-Face Recognition procedures SVM, matlab ... ... the initial upload of the exhibitions
kpca
- 一个利用KPCA进行故障诊断的程序，用起来很简单，里面有详细的标注-A use of KPCA for fault diagnosis procedure is very simple to use, which has detailed tagging
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
PSO-SVMface
- 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-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good p
kpca
- 使用核PcA来识别图片，图片为200张测试图片，200张训练图片，包含在在压缩文件中。-To identify the use of nuclear PcA picture, pictures, for 200 test images, 200 training images, is included in the compressed file.
KPCA_feature_extraction
- 别人的东西，有关KPCA特征提取的，看过了，很好很强大-Other people' s things, the KPCA feature extraction, and seen, very good very strong
kpca
- describe kpca in detail
kpca
- kpca的matlab源码，只要有人脸库就可用！-kpca of matlab source, as long as people face database can be used!
KPCA
- 核主成分分析方法，是主成分分析的一种改进算法，是一种非线性的特征提取方法。 -Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstr
gradient_descent_opt
- --- --- --- --- ---Kernel PCA --- --- --- --- - kpca1 | Simple Example of Kernel PCA on a artificial datasets | kpca2 | Example of KPCA. this is a B.Scholkopf modified routine | kpca3 | Example of Multi
7
- 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
1
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，检测率为百分之九十九，故障识别率为百分之九十九-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fau
Desktop
- The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fault recognition rate is ninety-nine percent-The program use pca, kpca, S
3
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，检测率为百分之九十九，故障识别率为百分之九十七-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fau
4
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，检测率为百分之九十九，故障识别率为百分之九十六-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fau
5
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，检测率为百分之九十九，故障识别率为百分之九十五-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fau
6
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，检测率为百分之九十九，故障识别率为百分之九十四-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fau
1
- 本程序用pca，kpca,svm,pls,fisher实现cstr和csth过程的故障检诊断，检测率为百分之九十九，故障识别率为百分之九十三-The program use pca, kpca, SVM, PLS, fisher realize CSTR process inspection and CSTH fault diagnosis, detection rate was ninety-nine percent, the fau