搜索资源列表
LIBSVMsrc
- 一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。-a good LIBSVM JAVA source. They should study and improve SVM academics. Reference. From Data Mining Tool Kit Yale.
yalefaces
- yale人脸库，做人脸识别所必须的样本图像。希望对大家有用。-Face library, which must be done face recognition sample images. We hope that the right useful.
gbp_package
- 用于稀疏分解的优化搜索算法，版权属于Patrick S. Huggins and Steven W. Zucker（Yale University）-sparse for the decomposition of optimization search algorithm, Copyright belongs to Patrick S. Huggins and Steven W. Zucker (Ya le University)
yale-2.0-src.tar
- 著名的开源仿真软件yale，功能与matlab完全有得比
人脸识别例子
- 人脸识别的简单例子，包括实验用的数据库和Yale人脸识别数据库
MyFaceRecognition
- 基于局部二值模式的人脸识别范例,其中选用了YALE人脸库作为仿真数据源。-Face recognition based on LBP
ma yi sparse representation classification
- ma yi sparse representation classification .EXTENDED YALE B database.recognition rate 95 。-ma yi sparse representation classification. recognition rate 95 .
NPE
- 本代码实现基于成对约束的半监督图嵌入算法-Following the intuition that the image variation of faces can be effectively modeled by low dimensional linear spaces, we propose a novel linear subspace learning method for face analysis in the framework of graph embeddi
yaleB01_P01.tar
- 人脸识别灰度图库，我想对做人脸识别的朋友会有帮助-face database
pca-svm
- 使用pca和svm方法对表情进行分类，有较高的识别准确率-The use of pca and expression svm classification methods, which have a higher recognition accuracy
MATSNL_ver2.0
- MATSNL is a package of MATLAB M-files for computing wireless sensor node lifetime/power budget and solving optimal node architecture choice problems. It is intended as an analysis and simulation tool for researchers and educators that are easy to use
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
Yale
- 这是一个模式识别中关于主成分分析的特征提取的matlab源码 -This is a pattern recognition principal component analysis on the feature extraction matlab source
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
Arch_Corr2_nor
- This code is face localization programme. It reads faces from yale database and localize the face in the image.
MFA
- 边界fisher判别，用于人脸识别，在yale库取得比较好的效果-Boundary fisher discriminant for face recognition, in the library to obtain better results yale
PCA
- Face recognition for Yale face database
Yale_32x32
- YALE 人脸数据库，人脸识别的好工具，15个人，每个人11副图像--YALE face database, face recognition a good tool, 15 individuals, each 11 images
EigenFace-FisherFace
- This file takes cropped yale face images file as input and performs classifications based on 1. Correlation 2. Eigen vector based classification (Eigen Face) 3. Fisher Linear Discriminator (FLD) (Fisher Face) The zip contains two files
PCA人脸识别GUIORL+Yale人脸库
- 该系统为基于MATLAB平台的PCA的人脸识别系统，可识别ORL和YALE人脸库，方法实现统一，包括GUI界面。另外可二次开发成摄像头的实时人脸系统，识别出库外人脸，可做成门禁系统，考勤系统，打卡签到系统。实现登记出勤，报警等。 含论文，详细注释。(The system is a PCA face recognition system based on MATLAB platform. It can recognize ORL and yale face database. The metho