The following Matlab project contains the source code and Matlab examples used for adaboost classification demo. AdaBoost is an algorithm for constructing a "strong" classifier as linear combination of simple weak classifiers. Reference : http://staff.ustc.edu.cn/~xjchen99/teaching/ImageUnderstanding/Robust%20real-time%20face%20detection.ppt

The following Matlab project contains the source code and Matlab examples used for boosting demo. This demo gives a clear visual presentation of what happens during the Adaboost algorithms.

The following Matlab project contains the source code and Matlab examples used for multiclass gentleadaboosting.   Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron.

The following Matlab project contains the source code and Matlab examples used for classic adaboost classifier. This a classic AdaBoost implementation, in one single file with easy understandable code.

The following Matlab project contains the source code and Matlab examples used for adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire . AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire.

The following Matlab project contains the source code and Matlab examples used for classic adaboost classifier. This a classic AdaBoost implementation, in one single file with easy understandable code.

The following Matlab project contains the source code and Matlab examples used for adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire . AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire.