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Diffstat (limited to 'experimental.tex')
| -rw-r--r-- | experimental.tex | 6 |
1 files changed, 0 insertions, 6 deletions
diff --git a/experimental.tex b/experimental.tex index fde1395..f59be72 100644 --- a/experimental.tex +++ b/experimental.tex @@ -146,7 +146,6 @@ happens if the noise from the Kinect is reduced. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/frames.pdf} \end{center} - \vspace{-1.5\baselineskip} \caption{Distribution of the frequency of each individual in the dataset} \label{fig:frames} @@ -202,7 +201,6 @@ we reach 90\% accuracy at 60\% recall for a group size of 10 people. \caption{Results with 10-fold cross-validation for the top $n_p$ most present people} \label{fig:offline} \end{center} - \vspace{-1.5\baselineskip} \end{figure*} %\begin{figure}[t] @@ -251,7 +249,6 @@ recognition rates mostly above 90\% for group sizes of 3 and 5. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/online-sht.pdf} \end{center} -\vspace{-1.5\baselineskip} \caption{Results for the online setting, where $n_p$ is the size of the group as in Figure~\ref{fig:offline}} \label{fig:online} @@ -260,7 +257,6 @@ recognition rates mostly above 90\% for group sizes of 3 and 5. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/face.pdf} \end{center} -\vspace{-1.5\baselineskip} \caption{Results for face recognition versus skeleton recognition with $n_p=5$ people} \label{fig:face} @@ -297,7 +293,6 @@ less than 10\% at most thresholds. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/back.pdf} \end{center} -\vspace{-1.5\baselineskip} \caption{Results with people walking away from and toward the camera} \label{fig:back} \end{figure} @@ -305,7 +300,6 @@ less than 10\% at most thresholds. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/var.pdf} \end{center} -\vspace{-1.5\baselineskip} \caption{Results with and without halving the variance of the noise} \label{fig:var} \end{figure} |
