文件名称:face_recognition_adaBoost_M2
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 63kb
- 下载次数：
- 0次
- 提 供 者：
- 王*
- 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
这是用matlab编写人脸检测软件，是用的adaboost算法，参考价值还是很高的-using Matlab is prepared Face detection software is used adaboost algorithm, reference value or high
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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
face_recognition_adaBoost_M2
............................\AdaBoostM2.asv
............................\AdaBoostM2.m
............................\data15.mat
............................\DataAnalysis.asv
............................\DataAnalysis.m
............................\each.txt
............................\loadimages.m
............................\m2_cr.mat
............................\MahalClassifer.m
............................\PCA.m
............................\pc_evectors.m
............................\prm.asv
............................\prm.m
............................\prm_distribution.m
............................\RandWithDistribution.m
............................\result.txt
............................\sort.txt
............................\sortem.m
............................\temp.asv
............................\temp.m
............................\train_each.txt
............................\数据
............................\....\30result.txt
............................\....\prm.xls
............................\AdaBoostM2.asv
............................\AdaBoostM2.m
............................\data15.mat
............................\DataAnalysis.asv
............................\DataAnalysis.m
............................\each.txt
............................\loadimages.m
............................\m2_cr.mat
............................\MahalClassifer.m
............................\PCA.m
............................\pc_evectors.m
............................\prm.asv
............................\prm.m
............................\prm_distribution.m
............................\RandWithDistribution.m
............................\result.txt
............................\sort.txt
............................\sortem.m
............................\temp.asv
............................\temp.m
............................\train_each.txt
............................\数据
............................\....\30result.txt
............................\....\prm.xls