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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: $31.91\%$ ( 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\%$ ( Runtime = $3.0$ mins )