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Iv Sjsn edited untitled.tex
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The experiment is performed with UCF Sport Action Dataset. Each x instance is normalized visual word frequency histogram of local features extracted from supervoxel region in the video. The split consists of training $3886$, testing $2277$ instances, respectively with $20k$ dimension.
\begin{itemize}
\item Linear Kernel \\ -
mAP: MAP: $31.91\%$ ( Runtime = $2.5$ mins )
\item Intersection Kernel
\\ - mAP: $35.65\%$ ( Runtime = $3.3$ mins )
\item Chi-square Kernel
\\ - mAP: $39.03\%$ ( Runtime = $2.4$ mins )
\item Jenson-Shannon Kernel
\\ - mAP:
%39.50\%$ $39.50\%$ ( Runtime = $3.0$ mins )
\end{itemize}