代码学习（一）

train for Discriminative patches for pascal 2007 subset

1. train：
2. assimilate： 

detect discriminative patches

1. load model( svm训练的模型总积  5481clusters 1984dimension features)
2.  load data and get data info: size
3. construct detection params
4. detector.detectPresenceUsingEntDet() 用model对该图像中patch属于哪个clusters计算score 

附：

matlab code，对应论文：Unsupervised Discovery of Mid-Level Discriminative Patches Saurabh Singh, Abhinav Gupta, and Alexei A. Efros]

其中VisualEntityDetectors：是matlab中定义的类 

代码学习（一）

原文：http://www.cnblogs.com/oudan/p/4160082.html