Hack pro nezalamovani \subsection

[pan13-paper.git] / pan13-poster / poster.tex

diff --git a/pan13-poster/poster.tex b/pan13-poster/poster.tex
index 44a14eebe9fae3c4eb52fb05338e017d8bfb9338..ed43b1f544d37cae2f8b8d1e6cff6358075f4c54 100755 (executable)
--- a/pan13-poster/poster.tex
+++ b/pan13-poster/poster.tex
@@ -24,7 +24,7 @@
 \definecolor{ReallyEmph}{rgb}{0.7,0,0}\r
 \r
 \renewcommand{\titlesize}{\Huge}\r
-\title{Diverse Queries and Feature Type Selection \\ for Plagiarism Discovery}\r
+\title{Diverse Queries and Feature Type Selection for Plagiarism Discovery}\r
 \r
 % Note: only give author names, not institute\r
 \author{Šimon Suchomel, Jan Kasprzak, and Michal Brandejs}\r
@@ -58,7 +58,7 @@
 \renewcommand{\SubSection}[2][?]{\r
   \vspace{0.5\secskip}\r
   \refstepcounter{subsection}\r
-  {\bf \subsectionsize \textcolor{SectionCol}{\arabic{section}.\arabic{subsection}~#2}}\r
+  {\bf \subsectionsize \textcolor{SectionCol}{\arabic{section}.\arabic{subsection}~\hbox{#2\hskip-15cm\hbox{}}}}\r
   \par\vspace{0.375\secskip}\r
 }\r
 \r
@@ -219,6 +219,7 @@ Performance of this measure is depicted at Figure~\ref{fig:snippet_graph}.
 Having this measure, a threshold for download decision needs to be set in order to maximize all discovered similarities\r
 and minimize total downloads.\r
 A profitable threshold is such that matches with the largest distance between those two curves.\r
+\r
 \begin{figure}\r
   \centering\r
   \includegraphics[width=0.8\textwidth]{img/snippets_graph.pdf}\r