Description: Adaboost algorithm basic idea is: the ability to use the general classification of a large number of weak classifier (weakerifier) through a certain method of superposition (boost), and constitute a strong Category strong classifier eyes eClassifier), then a number of strong Category connected in series to become hierarchical classifier (ClassifierCaseade) image search detection. Adaboost algorithm is to use this article will be generated characteristics category haar weak classifier become strong classifier, and then become a strong tandem Classifier Classifier classification.
File list (Check if you may need any files):
ABdemo
......\AdaBoost.m
......\AdaBoostClassify.m
......\SingleWeakLearner.m
......\SingleWeakLearnerROC.m
......\StrongClassify.m
......\TestAdaBoost.m
......\Toy.m
......\WeakClassify.m
......\WeakClassifyBatch.m
......\WeakClassifyROC.m
......\WeakLearner.m
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