From ce1e137062f54ebdef0830551be0116ba2e13491 Mon Sep 17 00:00:00 2001
From: Thibaut Horel <thibaut.horel@gmail.com>
Date: Sun, 4 Mar 2012 19:22:39 -0800
Subject: Abstract

---
 uniqueness.tex | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'uniqueness.tex')

diff --git a/uniqueness.tex b/uniqueness.tex
index 5bd55e4..35f9a37 100644
--- a/uniqueness.tex
+++ b/uniqueness.tex
@@ -81,7 +81,7 @@ output of the algorithm for the threshold $\delta$ is defined as:
 Figure \ref{fig:roc} shows the ROC curve of the proximity threshold
 algorithm for different values of the standard deviation of the noise,
 as well as the ROC of the best performing face detection algorithm in
-the Image-restricted LFW benchmark: \emph{Associate-Predict}
+the image-restricted LFW benchmark: \emph{Associate-Predict}
 \cite{associate}.
 
 The results show that with a standard deviation of 3mm, skeleton
-- 
cgit v1.2.3-70-g09d2

