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

一个用BoW|Pyramid BoW+SVM进行图像分类的Matlab Demo -Image Classification using Bag of Words and Spatial Pyramid BoW

利用matlab实现hog特征提取与SVM分类方法 用来识别人车与背景-Using matlab nonlinear SVM classification feature extraction and HOG achieve background test vehicles

基于词袋的场景分类，分类器采用SVM和最近邻，需要vlfeat和图片见http://cs.brown.edu/courses/csci1430/proj3/-Based on word bag scene classification, SVM classifier using the nearest neighbor and need vlfeat and pictures see http://cs.brown.edu/courses/csci1430/proj3/