University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction - Archive ouverte HAL
Communication Dans Un Congrès Année : 2006

University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction

Christophe Marsala
Machine Learning and Information Retrieval
CV
Marcin Detyniecki
Machine Learning and Information Retrieval

Résumé

In this paper, we present the methodology we submitted to the NIST TRECVID'2006 evaluation. We participated in the High-level Feature Extraction task. Our approach is based on the use of a Forest of Fuzzy Decision Trees through the Salammbô software.

Domaines

Informatique [cs]

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https://hal.science/hal-01352022

Soumis le : vendredi 5 août 2016-11:22:18

Dernière modification le : mercredi 24 mai 2023-12:27:16

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Dates et versions

hal-01352022 , version 1 (05-08-2016)

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  • HAL Id : hal-01352022 , version 1

Citer

Christophe Marsala, Marcin Detyniecki. University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction. TREC Video Retrieval Evaluation, 2006, Gaithersburg, United States. ⟨hal-01352022⟩

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