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Task scheduling is one of the most important issues in the cloud computing environments. In the cloud systems, the main goal of the task scheduling algorithms is to balance the workload among the computing nodes and maximize the utilization while meeting the bound of the total execution time. Concerning the delay of the associated tasks scheduling in cloud computing, a hierarchical task model was...
In this paper, Spatial Relationship model is presented as a novel technique of learning spatial models for visual object recognition. In contrast to other methods which explicitly give some parameterized spatial models, the proposed algorithm uses a latent class model to reveal some certain latent spatial relations. The advantages of the proposed model include: (1) it uses an unsupervised learning...
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