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authorJon Whiteaker <jbw@berkeley.edu>2012-08-14 13:52:21 -0700
committerJon Whiteaker <jbw@berkeley.edu>2012-08-14 13:52:21 -0700
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treead7a65e8c7f24d12cfbe841423aac8f2153eea2f /algorithm.tex
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parentff0297621fdc9849f3f92000a6dbaa1f498ee2a4 (diff)
downloadkinect-dd885c624015878c0beaf6617de18e59083d1dbb.tar.gz
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@@ -55,15 +55,15 @@ This suggests that all class conditionals $P(\bx | y)$ are multivariate normal
and our generative model, although very simple, may be nearly optimal
\cite{bishop06pattern}.
-\begin{figure}[t]
+\begin{figure*}[t]
\centering
- \includegraphics{graphics/limbs.pdf}
+ \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}
-\end{figure}
+\end{figure*}
\subsection{Sequential hypothesis testing}