文件名称:boostingDemo
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 222kb
- 下载次数:
- 0次
- 提 供 者:
- yin***
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
adaboost的实现算法,可进行人脸的样本训练-implementation of the AdaBoost algorithm, can be a sample of people face training
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(系统自动生成,下载前可以参看下载内容)
下载文件列表
boostingDemo
............\computeFeatures.m
............\createDatabase.m
............\createDemoDatabases.m
............\createDictionary.m
............\demoGentleBoost.m
............\gentleBoost
............\...........\fitRegressionStump.m
............\...........\gentleBoost.m
............\...........\plotw.m
............\...........\selectBestRegressionStump.m
............\...........\strongGentleClassifier.m
............\...........\testGentle.m
............\initPath.m
............\parameters.m
............\runDetector.m
............\showObjectModel.m
............\Simple object detector with boosting.mht
............\tools
............\.....\colorSegments.m
............\.....\convCrossConv.m
............\.....\plotBoundingBox.m
............\.....\singleScaleBoostedDetector.m
............\.....\zeroBoundary.m
............\.....\zeroPad.m
............\trainDetector.m
............\computeFeatures.m
............\createDatabase.m
............\createDemoDatabases.m
............\createDictionary.m
............\demoGentleBoost.m
............\gentleBoost
............\...........\fitRegressionStump.m
............\...........\gentleBoost.m
............\...........\plotw.m
............\...........\selectBestRegressionStump.m
............\...........\strongGentleClassifier.m
............\...........\testGentle.m
............\initPath.m
............\parameters.m
............\runDetector.m
............\showObjectModel.m
............\Simple object detector with boosting.mht
............\tools
............\.....\colorSegments.m
............\.....\convCrossConv.m
............\.....\plotBoundingBox.m
............\.....\singleScaleBoostedDetector.m
............\.....\zeroBoundary.m
............\.....\zeroPad.m
............\trainDetector.m