Deterministic Dirac mixture approximation of Gaussian mixtures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922815" target="_blank" >RIV/49777513:23520/14:43922815 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916002" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916002</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Deterministic Dirac mixture approximation of Gaussian mixtures
Original language description
In this work, we propose a novel way to approximating mixtures of Gaussian distributions by a set of deter-ministically chosen Dirac delta components. This approximation is performed by adapting a method for approximating single Gaussian distributions tothe considered case. The proposed method turns the approximation problem into an optimization problem by minimizing a distance measure between the Gaussian mixture and its Dirac mixture approximation. Compared to the simple Gaussian case, the minimization criterion is much more complex as multiple, non-standard Gaussian distributions have to be considered.
Czech name
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Czech description
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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

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 17th International Conference on Information Fusion
ISBN
978-84-9012-355-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
IEEE
Place of publication
Salamanca
Event location
Salamanca, Spain
Event date
Jul 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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