搜索资源列表
haykin_nn
- Simon Haykin的 《Neural NetWorks》例子原码，相当经典。相信很有用，特别SVM PCA等-Simon Haykin "Neural NetWorks" examples of the original code, very classic. I believe very useful, especially in such SVM PCA
facedetect_byxzq
- 一个外国人写的人脸检测程序，用到svm,pca,神经网络,还不错
PCA_ORL
- 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
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 fault recognition rate is ninety-
PCAlates
- PCA和SVM的电磁模板分析攻击PCA and SVM for electromagnetic analysis attack templates-PCA and SVM for electromagnetic analysis attack templates
Machine-Learning-Toolkit-Examples
- labview关于机器学习的案例，来源于NI lab，有多种方法：BP、Kernel PCA、Clustering、svm等等，值得大家学习。-labview on the case of machine learning, from the NI lab, there are a number of ways: BP, the Kernel the PCA, Clustering, svm, etc., is worth learning.
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 fault recognition rate is ninety-
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, SVM, PLS, fisher realize CSTR p
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 fault recognition rate is ninety-
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 fault recognition rate is ninety-
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 fault recognition rate is ninety-
classification_toolbox
- 多种用于分类的matlab代码，包含PCA,SVM,PLS-DA，KNN,SOMF等.-For various categories of matlab code, and contains the PCA and SVM, PLS- DA, KNN, SOMF, etc.
machine-learning-ex2-8
- 斯坦福机器学习网上公开课相关编程练习代码，包括线性回归，逻辑回归，神经网络，PCA,SVM等。-the programming code of online course Mechine Learning provided by Stanford.
PCA_SVM face recognition
- relize the idea of the face recognition of PCA-SVM
SVM-KMExample
- examples of SVM, PCA , MultiSVM, Feature extraction, kernel function
基于主分量的人脸重构
- 本实验是基于主成分分析法（PCA）在人脸识别中的应用，采用SVM分类器在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真。
(PCA+SVM)人脸识别
- 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)
matlab
- 用于脑电信号分析的matlab算法，对数据进行PCA处理及SVM分类。(The matlab algorithm for EEG signal analysis performs PCA processing and SVM classification on data.)
贝叶斯人脸识别
- Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别，基于GMM的图像分割，使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)
ML_SVM-master
- 算法功能是SVM分类，使用PCA降维处理，一个文件是直接分类，另一个是降维后分类(Classification using SVM algorithm)