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The experiment is performed with UCF Sport Action Dataset. Each x instance feature vector  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 )