文件名称:AdaBoost_TrainData
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介绍说明－－下载内容均来自于网络，请自行研究使用
这份代码是使用haar+adoboost做人脸检测用的，文件中还包括其他的特征选择，特征提取的算法，对于想做人脸检测这一块的朋友，可以下载来研究。-This code is used haar+adoboost human face detection, the document also includes other feature selection, feature extraction algorithm for face detection which one wants a friend, you can download to study.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
AdaBoost-Code_WithTrainData\data\AreaHypothesis200.mat
...........................\....\Samples2000-Raw.mat
...........................\....\WinHypothesis200.mat
...........................\....\WinHypothesis500.mat
...........................\data.rar
...........................\Kofsky-Code-Orange\AdaBoost\AdaBoost.asv
...........................\..................\........\AdaBoost.m
...........................\..................\........\AdaBoostClassfy.m
...........................\..................\........\AdaBoostWeakLearnerClassfy.m
...........................\..................\........\analysis\analysisHypothesisFeature.asv
...........................\..................\........\........\analysisHypothesisFeature.m
...........................\..................\........\........\featureNameMap.m
...........................\..................\........\calPredictErrorRate.m
...........................\..................\........\limited\limitedTrainAdaBoostLearner.asv
...........................\..................\........\.......\limitedTrainAdaBoostLearner.m
...........................\..................\........\.......\testLimitedTrainAdaBoostLearner.asv
...........................\..................\........\.......\testLimitedTrainAdaBoostLearner.m
...........................\..................\........\other-adaboost\L_AdaBoost.m
...........................\..................\........\..............\L_Detection.m
...........................\..................\........\..............\L_FaceDetection.m
...........................\..................\........\..............\L_partfeature.m
...........................\..................\........\..............\L_RandomInt.m
...........................\..................\........\..............\L_SingleFeatureLearner.m
...........................\..................\........\..............\L_TrainingSamples.m
...........................\..................\........\..............\L_WeakClassify.m
...........................\..................\........\..............\L_WeakClassifyCall.m
...........................\..................\........\..............\L_WeakLeaner.m
...........................\..................\........\..............\PositionRecord.mat
...........................\..................\........\..............\RatesAndIteration.mat
...........................\..................\........\searchBestWeakLearner.m
...........................\..................\........\testAdaBoost.m
...........................\..................\........\TestAdaBoostExample.m
...........................\..................\........\testAdaBoostLearner.m
...........................\..................\........\trainAdaBoostLearner.m
...........................\..................\bayes\Bayes.m
...........................\..................\.....\BayesTrain.m
...........................\..................\.....\CrossValidate.m
...........................\..................\.....\TestBayes.m
...........................\..................\Boosting\boostComparasion.m
...........................\..................\........\boostComparasionTest.m
...........................\..................\........\EntropyBoost\SceBoost.m
...........................\..................\........\............\testSceBoostExample.m
...........................\..................\........\............\trainSceBoostLearner.m
...........................\..................\........\FloatBoost\FloatBoost.asv
...........................\..................\........\..........\FloatBoost.m
...........................\..................\........\..........\testFloatBoost2.m
...........................\..................\........\..........\trainFloatBoostLearner.m
...........................\..................\........\MultiBoost\MultiBoost.m
...........................\..................\........\RealBoost\RealBoost.m
...........................\..................\........\.........\RealBoostClassfy.m
...........................\..................\........\.........\testBoost.m
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