Adaptive Committees of Feature-specific Classifiers for Image Classification

Tiziano Fagni; Fabrizio Falchi; Fabrizio Sebastiani

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Paper

Adaptive Committees of Feature-specific Classifiers for Image Classification

In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 0VISIGRAPP, 113-122, 2009 , Lisboa, Portugal

Authors: Tiziano Fagni ; Fabrizio Falchi and Fabrizio Sebastiani

Affiliation: Istituto di Scienza e Tecnologia dell’Informazione, Consiglio Nazionale delle Ricerche, Italy

Abstract: We present a system for image classification based on an adaptive committee of five classifiers, each specialized on classifying images based on a single MPEG-7 feature. We test four different ways to set up such a committee, and obtain important accuracy improvements with respect to a baseline in which a single classifier, working an all five features at the same time, is employed.

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Paper citation in several formats:

Fagni, T.; Falchi, F. and Sebastiani, F. (2009). Adaptive Committees of Feature-specific Classifiers for Image Classification. In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications (VISIGRAPP 2009) - Workshop IMTA; ISBN 978-989-8111-80-7, SciTePress, pages 113-122. DOI: 10.5220/0001968501130122

@conference{workshop imta09,
author={Tiziano Fagni. and Fabrizio Falchi. and Fabrizio Sebastiani.},
title={Adaptive Committees of Feature-specific Classifiers for Image Classification},
booktitle={Proceedings of the 2nd International Workshop on Image Mining Theory and Applications (VISIGRAPP 2009) - Workshop IMTA},
year={2009},
pages={113-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001968501130122},
isbn={978-989-8111-80-7},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Image Mining Theory and Applications (VISIGRAPP 2009) - Workshop IMTA
TI - Adaptive Committees of Feature-specific Classifiers for Image Classification
SN - 978-989-8111-80-7
AU - Fagni, T.
AU - Falchi, F.
AU - Sebastiani, F.
PY - 2009
SP - 113
EP - 122
DO - 10.5220/0001968501130122
PB - SciTePress