Verma, D;
Julier, S;
(2017)
Dynamic Network based Learning Systems for Sensor Information Fusion.
In: Pham, T and Kolodny, MA, (eds.)
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII.
SPIE
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Abstract
In order to get the modularity and reconfigurability for sensor information fusion services in modern battle-spaces, dynamic service composition and dynamic topology determination is needed. In the current state-of-the-art, such information fusion services are composed manually and in a programmatic manner. In this paper, we consider an approach towards more automation by assuming that the topology of a solution is provided, and automatically choosing the different types and kinds of algorithms which can be used at each step. This includes the use of contextual information and techniques such as multi-arm bandits for investing the exploration and exploitation tradeoff.
| Type: | Proceedings paper |
|---|---|
| Title: | Dynamic Network based Learning Systems for Sensor Information Fusion |
| Event: | SPIE Defense + Security, 2017, Anaheim, California, United States |
| Location: | Anaheim, CA |
| Dates: | 09 April 2017 - 13 April 2017 |
| ISBN-13: | 978-1-5106-0882-5 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2266103 |
| Publisher version: | https://doi.org/10.1117/12.2266103 |
| Language: | English |
| Additional information: | This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10059876 |
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