Package Boosting for Readaption of Cascaded Classifiers
Magdalena Szczot, Julian Förster, Otto Löhlein, Günther Palm · 2010
This contribution presents an efficient and useful way to readapt a cascaded classifier. We introduce Package Boosting which combines the advantages of Real Adaboost and Online Boosting for the realization of the strong learners in each cascade layer. We also examine the conditions which need to be fulfilled by a cascade in order to meet the requirements of an online algorithm and present the evaluation results of the system.