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zc
- 关于支持向量机的matlab程序 有兴趣的同学可以下载-With regard to support vector machine matlab program Interested students can download to see if
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
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- 灰色理论是上世纪八十年代发展起来的一门新学科，它对既含有已知信息又含有未知或非确定信息的系统进行预测。支持向量机(SVM)是一种基于统计学习理论的新型学习机，在数据挖掘中有很广泛的应用。本文首先探讨了支持向量机与灰色理论实现的基本原理，介绍了灰色GM(1,1)模型的构建过程，并将灰色GM(1,1)模型应用于支持向量机模型的构建，最后通过一实例验证该模型的有效性-Gray theory is the eighties of last century developed a new discipli
svm
- 丰富的支持向量机资料，不仅有源代码，还有例子，供对此感兴趣的参考使用-Support vector machine, mainly used in data mining
ThePainfulFacePainExpressionRecognitionUsingActive
- 三维人脸识别的经典文章，是三维人脸表情识别引用极多的经典文章-The Painful Face – Pain Expression Recognition Using Active Appearance Models Active Appearance Models, Support Vector Machines, Pain, Facial expression, Automatic facial image analysis
Textureandshapeinformationfusionforfacialexpressio
- 三维人脸识别的经典文章，也是三维人脸表情识别引用极多的文章，被模式识别杂志收录-Texture and shape information fusion for facial expression and facial action unit recognition Keywords: Facial expression recognition Facial Action Unit recognition Discriminant Non-Negative Matrix Factor
C
- c语言例题程序，还有最小二乘法支持向量机的MATLAB调试测试运行-Example programs c language, as well as least squares support vector machines to run MATLAB Debugging and Testing
Main_SVC_Nu
- matlab仿真例程，是支持向量机工具箱（matlab），可用于模式分类，模式识别 Nu_SVC二类分类算法-matlab simulation routines, support vector machine toolbox (matlab), can be used for pattern classification, pattern recognition Nu_SVC second-class Classification Algorithm
Main_SVM_One_Class
- One-Class支持向量机源代码，在matlab平台上应用，版本支持matlab6.5-One-Class Support Vector Machine source code, matlab platform, application, version supports matlab6.5
Main_SVR_Epsilon
- One-Class支持向量机工具箱中程序均在Matlab6.5环境中调试通过，不能保证在Matlab其它版本正确运行-One-Class Support Vector Machine Toolbox procedures are adopted in the Matlab6.5 debug environment can not guarantee that other versions of Matlab to run correctly
szzs
- 支持向量机对上证指数历史数据进行学习，预测未来一段时间的大致趋势，仅供参考。-Support vector machine right on the Shanghai Composite Index historical data to learn to predict the general trend in the coming period for reference purposes only.
SupportVectorMachines
- Rule Extraction from Linear Support Vector Machines
FCM
- 可以实现聚类，结合神经网络、支持向量机等用于故障诊断。-Clustering can be achieved, combined with neural networks, support vector machines for fault diagnosis.
fsvm
- 增加模糊隶属度实现图像数据有效分类的模糊支持向量机-support vector machine
LPSVM
- LP Support Vector machine in matlab
NewtonSVM
- Newton Support vector machine
osusvm
- OSU Support vector machine in matlab
LIBSVM
- libsvm使用说明书，libsvm是一个开源的支持向量机工具，简便易用。-libsvm manual, libsvm is an open source Support Vector Machine tools, easy to use.
ClassificationUsingIntersectionKernelSupportVector
- 基于Intersection Kernel SVM的分类的一篇很好的文章，适合需要对分类问题研究的人参考-Classification using Intersection Kernel Support Vector Machines is Efficient
svm
- 基于遗传算法的支持向量回归机参数选取，针对支持向量回归机( support vector regression , SVR) 的参数选择问题,提出了基于遗传算法的 SVR 参数自动确定方法。分-Based on genetic algorithm parameter selection of Support Vector Regression