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Communication Dans Un Congrès Année : 2007

High-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost

Résumé

In this paper, we present the methodology we applied in our submission to the NIST TRECVID’2007 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.
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hal-01336167 , version 1 (22-06-2016)

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  • HAL Id : hal-01336167 , version 1

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Christophe Marsala, Marcin Detyniecki, Nicolas Usunier, Massih-Reza Amini. High-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost. TRECVID 2007 workshop participants notebook papers, Nov 2007, Gaithersburg, MD, United States. ⟨hal-01336167⟩
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