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first draf related work finished

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toni
2018-04-03 11:54:41 +02:00
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18
tex/chapters/relatedwork.tex
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@@ -71,22 +71,8 @@ Finally, as the name recursive state estimation says, it requires to find the mo
In the discrete manner of a particle representation this is often done by providing a single value, also known as sample statistic, to serve as a best guess \cite{Bullmann-18}. In the discrete manner of a particle representation this is often done by providing a single value, also known as sample statistic, to serve as a best guess \cite{Bullmann-18}.
Examples are the weighted-average over all particles or the particle with the highest weight. Examples are the weighted-average over all particles or the particle with the highest weight.
However in complex scenarios like a multimodal representation of the posterior, such methods fail to provide an accurate statement about the most probable state. However in complex scenarios like a multimodal representation of the posterior, such methods fail to provide an accurate statement about the most probable state.
Thus, in \cite{} we present a rapid computation scheme Thus, in \cite{Bullmann-18} we present a rapid computation scheme of kernel density estimates (KDE).
Recovering the probability density function using an efficient KDE algorithm yields a promising approach to solve the state estimation problem in a more profound way.
A well known solution is KDE.
For example \cite{} used a ... in .... However it is obvious that this method has a massive computation time and is thus not practicle for smartphone-based solutions.
Within this paper we use a rapid bla und blub, what was recently presented in \cite{}.
\todo{umschreiben mit entsprechenden cites und auf particles }
\todo{mal die letzten beiden IPIN Jahre durchstöbern und deren system raussuchen. \\
dabei vor allem mit dem fokus, nicht sehr flexibel, braucht fertige ap positionen etc draufschauen \\
danach ein wenig schaun, ob es andere gibt die einzelne verfahren, wie wir sie haben ähnlich machen \\
nicht verbergen das wir hier viel aus unseren eigenen paper zehren, also ruhig citen.}
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11
tex/egbib.bib
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@@ -2905,3 +2905,14 @@ address = {{Rothenburg, Germany}},
publisher={Hindawi} publisher={Hindawi}
} }
@inproceedings{Bullmann-18,
author={Bullmann, Markus and Fetzer, Toni and Ebner, Frank and Grzegorzek, Marcin and Deinzer, Frank},
booktitle={21th Int. Conf. on Information Fusion (FUSION)},
title={{Fast Kernel Density Estimation using Gaussian Filter Approximation}},
year={2018},
IGNOREmonth={October},
pages={1-8},
note={under review}
}