中文说明：资源描述AdaBoost算法是机器学习中的一种重要的特征分类算法，常用于特征选择和特征加权。在表情识别中常需要利用AdaBoost算法对多尺度、多方向的高维Gabor复制图像进行筛选。
English Description：
Application backgroundAdaBoost algorithm is one of the important feature classification algorithms in machine learning, which is commonly used in feature selection and feature weighting. In expression recognition, AdaBoost algorithm is often used to screen the multi - scale and multi - directional high - dimensional Gabor replication.