From d141015881e15abb55b868350fae592a15064746 Mon Sep 17 00:00:00 2001
From: Jon Whiteaker <jbw@berkeley.edu>
Date: Mon, 5 Mar 2012 12:57:13 -0800
Subject: changes to wording in dataset setction

---
 uniqueness.tex | 27 +++++++++++++--------------
 1 file changed, 13 insertions(+), 14 deletions(-)

(limited to 'uniqueness.tex')

diff --git a/uniqueness.tex b/uniqueness.tex
index ce1cd3d..8f0b369 100644
--- a/uniqueness.tex
+++ b/uniqueness.tex
@@ -14,20 +14,19 @@ problem}. In this problem you are given two measurements of the metric
 and you want to decide whether they come from the same individual
 (matched pair) or from two different individuals (unmatched pair).
 
-This benchmark is standard for face recognition using the
-\emph{Labeled Faces in the Wild} \cite{lfw} database.  Raw data of
-this benchmark is publicly available and has been derived as follows:
-the database is split into 10 subsets. From each of these subsets, 300
-matched pairs and 300 unmatched pairs are randomly chosen. Each
-algorithm runs 10 separate leave-one-out cross-validation experiments
-on these sets of pairs. The average of the false-positive rates and
-the true-positive rates across the 10 experiments for a given
-threshold gives one operating point on the receiver operating
-characteristic (ROC) curve (Figure~\ref{fig:roc}). Note that in this
-benchmark, the identity information of the individuals appearing in the
-pairs is not available, which means that the algorithms cannot form
-additional image pairs from the input data. This is referred to as the
-\emph{image-restricted} setting in the LFW benchmark.
+This benchmark is standard for face recognition, which uses the \emph{Labeled
+Faces in the Wild} \cite{lfw} database for the pairs.  Raw data of this
+benchmark is publicly available and has been derived as follows: the database
+is split into 10 subsets. From each of these subsets, 300 matched pairs and 300
+unmatched pairs are randomly chosen. Each algorithm runs 10 separate
+leave-one-out cross-validation experiments on these sets of pairs. The average
+of the false-positive rates and the true-positive rates across the 10
+experiments for a given threshold gives one operating point on the receiver
+operating characteristic (ROC) curve (Figure~\ref{fig:roc}). Note that in this
+benchmark, the identity information of the individuals appearing in the pairs
+is not available, which means that the algorithms cannot form additional image
+pairs from the input data. This is referred to as the \emph{image-restricted}
+setting in the LFW benchmark.
 
 \subsection{Experiment design}
 
-- 
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