AdaBoost 是一种将弱分类器线性结合成强分类器的方法，由Jiri Matas 和 Jan Sˇ ochman提出-AdaBoost is a linear combination of the weak classifiers into a strong classifier method, by Jiri Matas and Jan S ochman proposed