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transcript01
- 关于博弈论的耶鲁大学国外开放课程课堂讲稿1-On game theory courses at Yale University classroom speech and opening up foreign1
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
xpvtkbook_compressed
- 这是耶鲁大学教授讲授VTk时的所有资料的记录，对于研究vtk有莫大好处。-This is a Yale University professor taught VTK all the information at the time of the record, the research has the enormous benefit VTK.
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
pca-svm
- pca的matlab实现,very good-achievement of pca with matlab
transcript02
- 关于博弈论的耶鲁大学国外开放课程课堂讲稿2-On game theory courses at Yale University classroom speech and opening up foreign2
transcript03
- 关于博弈论的耶鲁大学国外开放课程课堂讲稿3-On game theory courses at Yale University classroom speech and opening up foreign3
CAS-SSO-TRIAL
- Yale cas 实现sso教程，包括了java实现和dotnet实现。http://214s.5d6d.com-SSO with yale cas ,include java client and dotnet client.http://214s.5d6d.com
jspCasClient
- sso with yale cas server.this is the jsp client.http://214s.5d6d.com
ANewMethodofFusionofICAandLDAforFaceRecognition.ra
- 特征提取是模式识别研究领域的一个热点.本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法.谊方法中引入了零空间的概念,指出了前人算法中的不足之,并且给出了一个完整的独立成分分析和线性鉴别分析的组合算法.在ORL和Yale人脸数据库上的实验表明了该方法的有效性.-Feature extraction is a hot field of pattern recognition research. In this paper, which is based on independent com
yalefaces.tar
- 耶鲁人脸数据库， 做人脸识别的常用数据库-yale faces
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
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
problem
- 耶鲁大学公开课：博弈论 有关线性城市差异化产品模型的深入探讨-Yale Open Class: Game Theory of linear model of differentiated products Cities depth
nwal038
- The aim of the project was to propose a method for reliable detection and extraction of facial features in two and three dimensions. Several 2D methods were attempted – edge detection, intensity scanning, and Gabor transform. The Gabor transfor
PCA-pro
- 整个程序是基于Yale人脸数据库的PCA算法。算法主要分成三个部分。第一个部分是选择了每类图片的八张进行训练，形成基空间。第二部分是画图，主要是怎么画出特征脸，就是那个看着比较诡异的东西。可以修改数据，程序中提供了100个特征值和16个特征值的情况示例。最后一部分就是测试部分，检测命中率。效果很理想。-The whole process is based on the Yale face database PCA algorithm. Algorithm is divided into thre
2DPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用2DPCA方法完成人脸检测实验。-Standards in the ORL face database or Yale to complete the pattern recognition task. Complete with face detection method 2DPCA experiment.
Face-recognition
- 把黎曼流形用于人脸识别，人脸库是ORL和YALE，希望对大家有帮助。-The manifold for face recognition, is the ORL face database and YALE, we want to help.
yalefaces
- 耶鲁大学的人脸库。虽然不是源程序，相信对于做人脸识别的人用处是非常大的。-Face library of Yale University. Very useful.