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| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-08-14 13:52:09 -0700 |
|---|---|---|
| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-08-14 13:52:09 -0700 |
| commit | ff0297621fdc9849f3f92000a6dbaa1f498ee2a4 (patch) | |
| tree | 366aa772c8775b6c450d16adf19dd71884c5719d /algorithm.tex | |
| parent | 03fded7526c8bc56689b10ee9141453857c6e256 (diff) | |
| download | kinect-ff0297621fdc9849f3f92000a6dbaa1f498ee2a4.tar.gz | |
reworking to new format
Diffstat (limited to 'algorithm.tex')
| -rw-r--r-- | algorithm.tex | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/algorithm.tex b/algorithm.tex index 3045929..c02a0e5 100644 --- a/algorithm.tex +++ b/algorithm.tex @@ -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} |
