deletions | additions       diff --git a/section_Pillar_III_Map_evaluation__.tex b/section_Pillar_III_Map_evaluation__.tex  index 3fa83c9..b8f7a55 100644  --- a/section_Pillar_III_Map_evaluation__.tex  +++ b/section_Pillar_III_Map_evaluation__.tex 
...
\end{bmatrix}  \end{align}  The idea behind the global  loss function $L$ is that histograms in closeby areas should be similar and the similarity should decrease the further away  two positions are. This is modeled as a 2-dimensional Gaussian with 0  covariance (Figure~\ref{fig:model}). The variance is depended on the