@inproceedings{14f0fced41af4cb4a66247a1d8e5acf5,
title = "A neuronet approach to information fusion",
abstract = "Neuronet approaches offer a unique and powerful tool for nonlinear information fusion. Unlike traditional techniques, neuronets do not require explicit environmental models or descriptions of sensor characteristics. This paper describes a technique for sensor fusion which makes use of a new neural model to combine data autonomously extracted from different sources. Application of the technique to bimodal recognition of combined speech/image signals is discussed.",
author = "Huaing, {Thomas S.} and Hess, {Christopher P.} and Hao Pan and Liang, {Zhi Pei}",
note = "Publisher Copyright: {\textcopyright} 1997 IEEE.; 1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 ; Conference date: 23-06-1997 Through 25-06-1997",
year = "1997",
doi = "10.1109/MMSP.1997.602611",
language = "English (US)",
series = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "45--50",
editor = "Yao Wang and Reibman, {Amy R.} and Juang, {B. H.} and Tsuhan Chen and Sun-Yuan Kung",
booktitle = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
address = "United States",
}