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Predicting microblog user retweet behaviors is the basis of building the information diffusion model in microblog social networks. In order to improve the accuracy of predicting user retweet behaviors, under the MRF (Markov Random Field) framework, the paper comprehensively analyzes the effects on user retweet behaviors caused by various features (e.g., user attributes and microblog contents) and...
Dense sample video patches have been used for video representation in action recognition and achieve better performance than sparse spatiotemporal local features. However, two problems of this method must be considered. First one, many video patches are from background other than human body. Second one, the descriptor is not reliable, since it is neither shift nor scale invariant. To solve these two...
Multiple people tracking is an important component for different tasks such as video surveillance and human-robot interaction. In this paper, a global optimization approach is proposed for long-term tracking of an a priori unknown number of targets, particularly aim to improve the robustness in case of complex interaction and mutual occlusion. With a state-space discretization scheme, the multiple...
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