@inproceedings{c1cb147728fe46a685abbec490ebbbe9,
title = "Boosting classification performance via data fusion",
abstract = "An engine for fusing data from multiple sensors for classification is provided in this paper. Two novel methods for fusing multiple representations of data with boosting are presented and empirically evaluated against other fusion techniques as candidate algorithms for the fusion engine. We argue that information fusion from sensors operating in complementary regions of the spectrum and/or spatially separated can improve the classification performance.",
keywords = "boosting, classification, data fusion, radar",
author = "Costin Barbu and Jing Peng",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Radar Conference, RadarCon 2015 ; Conference date: 10-05-2015 Through 15-05-2015",
year = "2015",
month = jun,
day = "22",
doi = "10.1109/RADAR.2015.7131102",
language = "English",
series = "IEEE National Radar Conference - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "June",
pages = "783--787",
booktitle = "2015 IEEE International Radar Conference, RadarCon 2015",
edition = "June",
}