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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: $31.91\%$
with runtime ( Runtime = $2.5$ mins
with 20k dimensional 2277
\item Intersection Kernel: mAP: $31.91\%$
\item Chi-square Kernel: mAP: $31.91\%$
\item Jenson-Shannon Kernel: mAP: $31.91\%$