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adaboost
- 两个adaboost算法，代码很短，都有中文注释，第二个代码是第一个的改进。-Two algorithms about adaboost ,the code is very brief,including the Chinese comments. The second one improver better than the first one.
AdaboostVSsvm
- 一篇关于SVM和adaboost算法对比的文章。分别运用两种方法进行目标识别，比较算法与结果-A comparison on the SVM algorithm and adaboost article. Two methods were used for target identification, comparison algorithm and results
AdaBoost(original)
- AdaBoost(original),普通的AdaBoost算法的Matlab实现-AdaBoost(original)
spider
- matlab机器学习最新的工具箱，包含多种学习算法如kmean、adaboost、svm等-the latest machine learning matlab toolbox contains a variety of learning algorithms such as kmean, adaboost, svm, etc.
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
matlab-face-detection
- pca+svm 与pca +adaboost 人脸检测，里面包含有程序的详细说明-pca+svm, pca+adaboost people face detection, which contains a detailed descr iption of the program
Adaboost
- matlab实现AdaBoost,弱分类算法包括fisher 伪逆 svm naivebayes 决策树。-matlab implements AdaBoost, weak classification algorithms include fisher pseudoinverse svm naivebayes tree.
da
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类器；SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
rq(3)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类分类器(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaB