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MBulli
2018-02-19 21:12:13 +01:00
parent a46fe242e8
commit 601a93552d
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tex/chapters/experiments.tex
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@@ -3,7 +3,7 @@ We now empirically evaluate the accuracy of our method and compare its runtime p
To conclude our findings we present a real world example from a indoor localisation system.
All tests are performed on a Intel Core \mbox{i5-7600K} CPU with a frequency of $4.5 \text{GHz}$, which supports the AVX2 instruction set, hence 256-bit wide SIMD registers are available.
We compare our C++ implementation of the box filter based KDE to the KernSmooth R package and the \qq{FastKDE} implementation \cite{fastKDE}.
We compare our C++ implementation of the box filter based KDE to the KernSmooth R package and the \qq{FastKDE} implementation \cite{oBrien2016fast}.
The KernSmooth packages provides a FFT-based BKDE implementation based on optimized C functions at its core.
\subsection{Error}