Design of a Robust Fusion of Probability Densities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43925645" target="_blank" >RIV/49777513:23520/15:43925645 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ACC.2015.7171989" target="_blank" >http://dx.doi.org/10.1109/ACC.2015.7171989</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACC.2015.7171989" target="_blank" >10.1109/ACC.2015.7171989</a>
Alternative languages
Result language
angličtina
Original language name
Design of a Robust Fusion of Probability Densities
Original language description
The paper deals with the fusion of probability densities. A selection of the weights of the weighted geometric mean of densities is justified, as well as the selection of the geometric mean itself, from a more general perspective. It is shown that the Chernoff fusion provides the density that minimises the greatest Kullback–Leibler divergence to the densities that are being fused. The interpretation of the densities is discussed and finally, illustrative examples are provided.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GC13-07058J" target="_blank" >GC13-07058J: Consistent Fusion in Networked Estimation Systems</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2015 American Control Conference
ISBN
978-1-4799-8684-2
ISSN
0743-1619
e-ISSN
—
Number of pages
6
Pages from-to
4204-4209
Publisher name
IEEE
Place of publication
Chicago
Event location
Chicago, USA
Event date
Jul 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000370259204051