From 898a85e9d27cac39f403a9a499ea49578a856f4f Mon Sep 17 00:00:00 2001
From: Thibaut Horel <thibaut.horel@gmail.com>
Date: Mon, 5 Mar 2012 14:34:54 -0800
Subject: Final changes

---
 uniqueness.tex | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'uniqueness.tex')

diff --git a/uniqueness.tex b/uniqueness.tex
index 6c90310..1814446 100644
--- a/uniqueness.tex
+++ b/uniqueness.tex
@@ -83,10 +83,10 @@ as well as the ROC of the best performing face detection algorithm in
 the image-restricted LFW benchmark: \emph{Associate-Predict}
 \cite{associate}.
 
-The results show that with a standard deviation of 3mm, nearest
+The results show that with a standard deviation of 3 millimeters, nearest
 neighbor performs quite similarly to face detection at low
 false-positive rate. At this noise level, the error is smaller than
-1cm with 99.9\% probability. Even with a standard deviation of 5mm, it
+1 centimeter with 99.9\% probability. Even with a standard deviation of 5 millimeters, it
 is still possible to detect 90\% of the matched pairs with a false
 positive rate of 6\%.
 
-- 
cgit v1.2.3-70-g09d2

