Ali Zarezade

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This paper presents a robust tracking approach to handle challenges such as occlusion and appearance change. Here, the target is partitioned into a number of patches. Then, the appearance of each patch is modeled using a dictionary composed of corresponding target patches in previous frames. In each frame, the target is found among a set of candidates(More)
In real world social networks, there are multiple diffusion processes which are rarely independent. They usually interact with each other in a competitive or cooperative manner. In this paper, motivated by the reinforcement theory in sociology , we model the adoption behavior of users in social networks by a multivariate marked Hawkes process. According to(More)
Users in social networks whose posts stay at the top of their followers' feeds the longest time are more likely to be noticed. Can we design an online algorithm to help them decide when to post to stay at the top? In this paper, we address this question as a novel optimal control problem for jump stochastic differential equations. For a wide variety of feed(More)
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