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Sequential data modeling has received growing interests due to its impact on real world problems. Sequential data is ubiquitous -- financial transactions, advertise conversions and disease evolution are examples of sequential data. A long-standing challenge in sequential data modeling is how to capture the strong hidden correlations among complex features in high volumes. The sparsity and skewness...
Background modeling is a key step of background subtraction methods used in the context of static camera. The goal is to obtain a clean background and then detect moving objects by comparing it with the current frame. This paper describes a novel fuzzy approach for moving object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work integrates...
In order to solve the unsteadiness of business process caused by the constantly changing requirements in the Web circumstances, we propose in this paper an automatic configuration method for business process based on rules, with teaching management in colleges as research background. We first define the basic activities of each process and their mutual relations. When it is run-time, business process...
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