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Csharp-2.6
- LIBSVM的C#版本,是2。8版本的。非常好用啊 。多多下载-LIBSVM writen by C#,it edition is 2.8,useful so much.Download more.
libsvm-2.8
- libsvm升级到2.8版本,针对新的代码稍做修改,重新排版,修正了原版中部分错误 -libsvm upgrading to 2.8 edition,do little chinging on new edition,set up new type,and changing some mistake of original edition.
libsvm-2.8.4VC2005
- vc 2005下的libsvm2.8.4
libsvm-mat-2.8-1
- libsvm支持向量机,用于识别分类。本程序成功用于虹膜识别的研究。是嵌入matlab的C程序
libsvm-mat-2.8-1
- 这是关于支撑向量机算法的matlab程序
libsvm-mat-2.8-1
- 人工智能模式识别中基于支持向量机的分类算法在识别领域属于较新的应用-The SVM-based classification algorithm is a kind of new application in the field of artificial intelligence and pattern recognition.
several-SVMs-algorithms
- 支持向量机几个算法源代码 包括以下算法 cSVM3.1.8 libsvm-2.88 newsvm OnlineSVR_C--_Code svmcla-cSVM3.1.8 libsvm-2.88 newsvm OnlineSVR_C--_Code svmclass
libsvm-2.8
- lib svm 支持向量算法包 是支持向量必须下的代码-lib svm
libsvm-2.84
- libsvm2.8的代码 很好的东西 欢迎大家下载使用-libsvm2.8的代码 很好的东西 欢迎大家下载使用
CODE
- 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
libsvm-2.83
- libsvm searh for how to use it how to use it searh for how to use it -libsvm 2.8 libsvm libsvm searh for how to use it
libsvm-mat-2.8-1
- 有良好的分类能力,接口函数易用,是一个完整c环境下开发的libsvm,比svm分类效果好。- Have good ability of classification,Interface function is easy to use。Is a complete c environment of development libsvm, SVM classification than effect is good.
libsvm-2.8
- SVM算法,如果你想找一种方法来分类,该算法是一个非常好的算法。-the algorithm of SVM,You can have a try.If you think this algorithm is good,you can contact with me.
libsvm-3.1
- LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-ty
libsvm-3.22
- libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it impl