搜索资源列表
testdlib
- 该代码用于测试基于vs2010+opencv上添加库函数vlfeat的测试是否加载成功的代码，如已完成vs2010和opencv的环境配置，直接双击testvlfeat.sln即可运行。-The code is used for adding a library function test based on vs2010+ opencv vlfeat test whether load code of success, such as completed vs2010 and opencv en
vlfeat-0.9.20-bin.tar
- sift算法源码，图像学中的重要分析算法．-sift algorithm source code, learn the important image analysis algorithms.
yael_kmeans
- kmeans算法，可处理千万级样本的快速kmeans算法，这是我研究过程中找到的最好用的kmeans算法之一，另外一个好用的是vlfeat中的kmeans包-kmeans clustering algorithm, the best kmeans implementation I ve ever found
vlfeat-slic-example-master
- TurboPixels.this code is a template. I download his two minutes ago. Ha-ha.
vlfeat-0.9.20-bin
- 特征提取的工具包，实现各种特征，如hog,lbp,sift.-Feature extraction kit achieve a variety of features, such as hog, lbp, sift.
code
- 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/
practical-cnn-2016a-code-only.tar
- VGG卷积神经网络练习，在matlab中使用vlfeat/matconvnet对图像进行去模糊的操作进而更好的识别图像(VGG Convolutional Neural Networks Practical)
vlfeat-0.9.20-bin.tar
- 常用工具包，特征提取方法，如HOG，sift等特征，分类方法如决策树，svm等(Commonly used toolkits, feature extraction methods, such as HOG, sift and other features, classification methods, such as decision trees, SVM, etc.)
SIFT
- 使用VLfeat的SIFT算法，在python平台进行SIFT特征提取和匹配(SIFT feature extraction and matching on Python platform based on SIFT algorithm of VLfeat)
vlfeat-0.9.212
- 包括聚类分析，支持向量机，随机森林等算法(Including clustering analysis, support vector machines, random forests and other algorithms.)