The basic idea of ​ ​ Adaboost algorithm is: classification ability of a large number of weak classifier (weakerifier) ​ ​ superimposed by a certain method (boost) together constitute a classification of very strong classifier the eye eClassifier), then will a number of strong The classifiers series Classification (ClassifierCaseade) image search detection. This article is the use of a weak classifier Adaboost algorithm will be generated by the class of haar features a strong classifier, then the strong classifier in series to become a hierarchical classifier.

AsimpleABdemod\ABdemo\AdaBoost.m
..............\......\AdaBoostClassify.m
..............\......\SingleWeakLearner.m
..............\......\SingleWeakLearnerROC.m
..............\......\StrongClassify.m
..............\......\TestAdaBoost.m
..............\......\Toy.m
..............\......\WeakClassify.m
..............\......\WeakClassifyBatch.m
..............\......\WeakClassifyROC.m
..............\......\WeakLearner.m
..............\ABdemo
AsimpleABdemod

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