High-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm
Christophe Marsala, Marcin Detyniecki, Nicolas Usunier and Massih-Reza Amini
Laboratoire d'Informatique Paris 6
104, avénue du Président Kennedy
In this paper, we present the methodology we applied in our submission to the NIST TRECVID2007 evaluation. We participated in the High-level Feature Extraction task. Our approach is based on the use of a Forest of Fuzzy Decision Trees combined with the RankBoost algorithm.