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In this paper, we propose a scalable algorithm for finding the exact solution to the maximum-clique problem. At the heart of our approach lies a multi-phase partitioning strategy, which enables iterative, in-memory processing of graphs. The multi-phase partitioning is tuned for the resources of the machine/cluster to get the best performance. To promote parallelization and scalability on both a cluster-level...
Sliding window is one direct way to extend a successful recognition system to handle the more challenging detection problem. While action recognition decides only whether or not an action is present in a pre-segmented video sequence, action detection identifies the time interval where the action occurred in an unsegmented video stream. Sliding window approaches can however be slow as they maximize...
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