From ed2536b2fbb570302e77468e4b2014f7cdc4c771 Mon Sep 17 00:00:00 2001
From: nunzip <np.scarh@gmail.com>
Date: Fri, 14 Dec 2018 12:08:50 +0000
Subject: Adapt to 4 pages
---
report/paper.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/report/paper.md b/report/paper.md
index 6ebf32d..2a9add2 100644
--- a/report/paper.md
+++ b/report/paper.md
@@ -66,7 +66,7 @@ identification is shown in red.
\begin{figure}
\begin{center}
-\includegraphics[width=22em]{fig/eucranklist.png}
+\includegraphics[width=24em]{fig/eucranklist.png}
\caption{Top 10 rank-list generated for 5 query images}
\label{fig:eucrank}
\end{center}
@@ -108,7 +108,7 @@ improve identification accuracy, we consider it an additional baseline.
\begin{figure}
\begin{center}
-\includegraphics[width=17em]{fig/kmeanacc.pdf}
+\includegraphics[width=20em]{fig/kmeanacc.pdf}
\caption{Top 1 Identification accuracy varying $k$-Means cluster size}
\label{fig:kmeans}
\end{center}
@@ -249,7 +249,7 @@ The difference between the top $k$ accuracies of the two methods gets smaller as
\begin{figure}
\begin{center}
-\includegraphics[width=20em]{fig/comparison.pdf}
+\includegraphics[width=24em]{fig/comparison.pdf}
\caption{Top K (@rank) Identification accuracy ($K_L=0.3$,$k_1=9$,$k_2=3$)}
\label{fig:compare}
\end{center}
--
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