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Authors: Jana Kludas ; Eric Bruno and Stephane Marchand-Maillet

Affiliation: University of Geneva, Switzerland

Abstract: The article presents the information-theoretic based feature information interaction, a measure that can describe complex feature dependencies in multivariate settings. According to the theoretical development, feature interactions are more accurate than current, bivariate dependence measures due to their stable and unambiguous definition. In experiments with artificial and real data we compare the empirical estimates of correlation, mutual information and 3-way feature interaction. We can conclude that feature interactions give a more detailed and accurate description of data structures that should be exploited for information fusion in multimedia problems.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kludas, J.; Bruno, E. and Marchand-Maillet, S. (2008). Can Feature Information Interaction Help for Information Fusion in Multimedia Problems?. In Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU; ISBN 978-989-8111-24-1, SciTePress, pages 23-33. DOI: 10.5220/0002339500230033

@conference{mmiu08,
author={Jana Kludas. and Eric Bruno. and Stephane Marchand{-}Maillet.},
title={Can Feature Information Interaction Help for Information Fusion in Multimedia Problems?},
booktitle={Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU},
year={2008},
pages={23-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002339500230033},
isbn={978-989-8111-24-1},
}

TY - CONF

JO - Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU
TI - Can Feature Information Interaction Help for Information Fusion in Multimedia Problems?
SN - 978-989-8111-24-1
AU - Kludas, J.
AU - Bruno, E.
AU - Marchand-Maillet, S.
PY - 2008
SP - 23
EP - 33
DO - 10.5220/0002339500230033
PB - SciTePress