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The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.
Date : 2025-12-20 Size : 2.88mb User : zhaiyunlong

这是一个多分类程序,采用DAGSVM的方法,可用于初学者参考学习。(it's a matlab code for a multi-class SVM,which designed by DAGSVM. It is usefull for learners study .)
Date : 2025-12-20 Size : 1kb User : 小月亮晓儿

非线性分类器设计—支持向量机 matlab程序运行 非线性支持向量机(SVM)的原理、核函数类型 libSVM工具箱安装的一般流程(Nonlinear classifier design support vector machines)
Date : 2025-12-20 Size : 22kb User : 吴鹏12138

MATLAB中遗传算法工具包,可搭配SVM使用(Genetic algorithm toolkit in MATLAB, which can be used with SVM)
Date : 2025-12-20 Size : 413kb User : josdgv
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