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Support Vector Machines is a powerful methodology for solving problems in nonlinear classification and regression.
It is a matlab version.-Support Vector Machines is a powerful methamphetamine odology for solving problems in nonlinear CLAS sificati
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SVM的matlab接口．为利用SVM进行分类提供了一个matlab的环境-SVM Matlab interface. For the use of SVM classification of a Matlab environment
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SVM分类，支持向量机，包括matlab源码，使用非常方便-SVM classification, support vector machines, including Matlab source, the use of very convenient
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CJ.Lin的著名软件：LibSVM，实现的是SVM分类、回归的快速算法。在Matlab 7.0环境下直接调用。-CJ.Lin the leading software : LibSVM achieve the SVM classification algorithm for the rapid return. Matlab 7.0 environment directly call.
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此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
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支持向量机工具箱一种，主要解决分类和回归等问题，它是在matlab环境下运行的。-A Support Vector Machine Toolbox, mainly to resolve issues such as classification and regression, which is running in the matlab environment.
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This program implements SVM classification over libsvm library.
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1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序
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由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在
libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。-As the matlab version of the toolbox libsvm libsvm-mat
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本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
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matlab程序，关于svm回归拟合，分类的-matlab program, return on svm fitting classification. . . .
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支持向量机的方法在matlAB中实现，包括回归、以及分类等模块。此外，还有参数寻优的算法。-Support vector machine method is implemented in matlAB, including regression and classification module. In addition, parameter optimization algorithms
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利用libsvm在matlab中实现分类功能，简单好记-Libsvm matlab classification function to remember
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SVM的多分类问题MATLAB工具包。传统的SVM只支持二分类问题，MATLAB自带的工具包也存在同样的问题。可以在setpath中导入此包，便可轻松将SVM问题扩展到多分类的层面。-A matlab toolkit to solving multi-classification problems based on svm. Traditional svm and the matlab toolkit svmtrain can only support for bi-classificati
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it is a libsvm which can help us to do classification of a benchmark in the platforme matlab-it is a libsvm which can help us to do classification of a benchmark in the platforme matlab
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libsvm-3.16工具箱，支持多分类向量机，能载入matlab并运行，已经通过验证的程序，很好-libsvm-3.16 toolbox, support multi-classification vector machine, can be loaded the matlab and running, has been validated procedures, very good
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This folder contains a matlab program for machine learning (classification using SVMs)
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libsvm,台湾著名学者研究出的改进版的支持向量机。可用于多类别图像分类。上传的是window版本。-libsvm, Taiwan s well-known scholars developed an improved version of the Support Vector Machine. Can be used for multi-class image classification. Upload a window version.
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Matlab 源程序，支持向量机的工具箱，用于分类识别研究-Matlab source file，Support vector machine toolboox，for recognition and classification
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一个在Matlab上实现SVM的源代码，用途广泛，相当实用的分类方法-SVM classification method to achieve the source code on Matlab, versatile, very practical
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