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diff --git a/algorithm.tex b/algorithm.tex
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--- a/algorithm.tex
+++ b/algorithm.tex
@@ -1,4 +1,5 @@
\section{Algorithms}
+
\label{sec:algorithms}
In Section~\ref{sec:uniqueness}, we showed that a nearest-neighbor classifier
@@ -66,13 +67,13 @@ classifier. In general, the higher the threshold $\delta$, the lower the recall
and the higher the precision.
\begin{figure*}[t]
- \centering
- \includegraphics[width=0.99\textwidth]{graphics/limbs.pdf}
- \caption{Histograms of differences between 9 skeleton measurements
- $x_k$ (Section~\ref{sec:experiment}) and their expectation given the
- class $y$. In red, the p.d.f. of a normal distribution with mean and
- variance equal to the empirical mean and variance of the measurement}
- \label{fig:error marginals}
+ \begin{center}
+ \includegraphics[width=0.99\textwidth]{graphics/hallway.png}
+ \end{center}
+ \vspace{-\baselineskip}
+ \caption{Experiment setting. Color image, depth image, and fitted
+ skeleton as captured by the Kinect in a single frame}
+ \label{fig:hallway}
\end{figure*}
\subsection{Sequential hypothesis testing}