Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...
—The achievement of media synchronization has been dealt with in the Object Composition Petri Net (OCPN) model and the extended OCPN (XOCPN) model. Yet these two models are not e...
—This paper presents a cohesive, practical load balancing framework that improves upon existing strategies. These techniques are portable to a broad range of prevalent architectu...
Watermarkingwith both obliviousdetection and high robustness capabilities is still a challenging problem. The existing methods are either robust or oblivious, but it is di cult to...
Materialization is a powerful and ubiquitous abstraction pattern for conceptual modeling that relates a class of categories (e.g., models of cars) and a class of more concrete obje...