搜索资源列表
FaceEvaluator
- A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition.
ToolBox
- matlab图像处理工具相,使用了主成分分析,ANN,SVM等方法。-This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
DetectionLibrary
- Chesnokov Yuriy写的人脸检测库,内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN
chapter13
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》6 支持向量机,综合案例——基于PCA和SVM的人脸识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Recognition Syste
knnPcaWithGA
- In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification is made by K-In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification i
manual_stprtool
- stprtool的使用文档,非常好的模式识别工具包,里面有关于核的以及贝叶斯的相关程序,以及PCA,EM,SVM等方法。 -stprtool the use of the document, very good pattern recognition tool kit, which has nuclear as well as Bayes procedures, as well as PCA, EM, SVM and other methods.
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 reconstruction of face image and reco
mtfknn
- 国外网站下载的程序包,包含mindist_classifier_type,pca,PNN,svm等几个算法程序,希望对大家有用。-Foreign website package, including mindist_classifier_type, pca, PNN, svm algorithm program, and several, we hope to be useful.
PCA-feature-extraction-and-SV-multi-class
- PCA特征抽取与SVM多类分类在传感器故障诊断中的应用PCA feature extraction and SVM multi-class classification in the sensor fault diagnosis-PCA feature extraction and SVM multi-class classification in the sensor fault diagnosis
ensembles_pca_svm_new10v
- pca做特征降维,然后进行特征空间随机分割构造多个svm分类器,并行处理,对样本进行分类,基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
5
- 本程序实现了用pca,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, SVM realize the recognition face expression, very accurate results, has the very high recognition result
FaceRec_Final
- 5-fold cross valication for Face recognition using PCA, SVM and KNN.
pacVsm
- pca + svm人脸识别代码 图片目录需要自己修改-the pca+ svm Face Recognition code picture directory need to modify
matlab-face-detection
- pca+svm 与pca +adaboost 人脸检测,里面包含有程序的详细说明-pca+svm, pca+adaboost people face detection, which contains a detailed descr iption of the program
PCAPSVM
- 使用pca+svm进行人脸识别的代码,很详细-detailed code for face recognition using pca+svm
MITfaces
- pca 结合svm 算法的人脸与非人脸分类程序。附带训练和测试样本。-pca svm algorithm combined with the human face and non-face classification procedure. With training and test samples.
chapter13
- pca,svm人脸识别,有训练,识别,和orl人脸库-pca,svm source code, can detect human faces
ORLPPCAPSVM
- 一个完整的人脸识别算法实验,快速pca+svm算法,里面还带有orl人脸数据库,并且代码还有相应注释,大小有几十m,是一个很好的人脸实验-A complete face recognition algorithm experiments, fast pca+svm algorithm, which also comes with orl face database, and the code as well as the corresponding notes, there are dozens
Neural-Network
- This folder contains the following sub-folders which are essential in our project: 1.Raw Data All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St. 2.Filter Filter to rule out signal of Channel
svm
- svm工具箱,程序与应用实例 scaleForSVM:归一化 pcaForSVM:pca降为预处理 fasticaForSVM:ica降为预处理 等-svm toolbox, procedures and application examples