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- 本程序用pca,kpca,svm,pls,fisher,贝叶斯实现cstr和csth过程的故障检诊断,诊断率为百分之九十九,故障识别率为百分之五十七-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
5
- 本程序用pca,kpca,svm,pls,fisher,贝叶斯实现cstr和csth过程的故障检诊断,诊断率为百分之九十九,故障识别率为百分之五十六-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
pcaForSVM
- 关于SVM数据预处理的函数,降低维数的PCA函数-The function of data pretreatment on SVM, reduce dimension of PCA function
pcaForSVM
- 支持向量机(SVM)主成分分析法进行预处理筛选变量- support vector machine (SVM),PCA(principal component analysis)
PCAPSVMPORL
- 对于人脸数据库ORL,先用PCA进行特征提取,然后用SVM进行分类识别。里面有ORL数据库。-The ORL face database, first using PCA feature extraction using SVM for classification. There ORL database.
face-recognition
- 一个有关人脸识别的程序,是PCA和SVM的,可以运行-a code about face recognition
FaceRec
- 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
PCA_SVM
- 采用经典的PCA对人脸图像进行特征提取,用SVM分类器进行分类。-Classic PCA face image feature extraction, classification with the SVM classifier.
Ssvmmraru
- 支持向量机(SVM)、线形鉴别分析(LDA)、主主分量分析(PCA)与人工神经元网络(ANN)源代码 -Source code for the support vector machine (SVM), linear discriminant analysis (LDA), principal component analysis (PCA) and artificial neural network (ANN)
pq_pcasvm
- 使用小波能量差提取信号,PCA降维,SVM对电能质量扰动分类。-Extract the signal using the wavelet energy difference between the PCA dimensionality reduction, SVM classification of power quality disturbances.
Pprtools317a
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,IICA,PCA,NN等等模式识别算法.,已通过测试。 -MATLAB toolbox of pattern recognition, more practical, including SVM, IICA, PCA, NN pattern recognition algorithms. Has been tested.
PCA_ORL
- 基于PCA和SVM的人脸识别系统的实现,实验数据采用ORL人脸库。-Based on the PCA and the SVM face recognition system is realized, the experiment data using ORL face database.
FaceRec
- 利用SVM和PCA结合的方法进行的人脸识别实验,希望对于初学模式识别的人有所帮助-Face recognition experiments using SVM and PCA methods, hoping to be helpful for beginner pattern recognition
Color-rendering.
- 本文的目的是提供一个我开发的SSE优化的,C++库,用于人脸检测,你可以马上把它用于你的视频监控系统中。涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程,还有一下其它的人脸检测的背景知识。-Face expression identification code, part of the realization of the algorithm and write the purpo
chapter13
- matlab实现PCA和SVM人脸识别 主成分分析 和 支持向量机-the matlab realize PCA and SVM face recognition
stprtool
- 统计模式识别,包括PCA LDA SVM-Statistical pattern recognition, including the PCA LDA SVM
0-9-digital-recognition
- 基于MATLAB平台的通过PCA降维后利用支持向量机SVM的0-9数字识别,适合初学者学习使用-The MATLAB platform by PCA after dimension reduction using 0-9 digital recognition with support vector machine based on SVM, suitable for beginners learning to use
new_pca_svm
- 基于PCA和SVM的人脸识别系统主程序 -Based on PCA and SVM for face recognition system main
FaceRec
- 基于PCA和SVM的人脸识别系统的matlab程序-Chaos-based image encryption and decryption process
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.