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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-04 19:22:39 -0800 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-04 19:22:55 -0800 |
| commit | ce1e137062f54ebdef0830551be0116ba2e13491 (patch) | |
| tree | 96f5fc9fc61163fb13461c76b6b0dbc892940678 /uniqueness.tex | |
| parent | ebcc22b552387a4ca9f7830aa118d95d047a20fb (diff) | |
| download | kinect-ce1e137062f54ebdef0830551be0116ba2e13491.tar.gz | |
Abstract
Diffstat (limited to 'uniqueness.tex')
| -rw-r--r-- | uniqueness.tex | 2 |
1 files changed, 1 insertions, 1 deletions
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 |