Further Improvement of AdaBoost Algorithm

AdaBoost algorithm is a kind of very important feature classification machine learning algorithm, But if difficult samples exist in the training samples, With the iterative Number increasing, this easily leads to degeneration Phenomenon, and reduces the generalization ability of the classifier. In view of the face detection under complex background degeneration appeared problem, This article Proposes LWE-AdaBoost algorithm which can limit weight expansion, the experimental results indicate that the LWEAdaBoost algorithm can restrain the recurrence of degeneration Phenomenon well.