Sensor networks not only have the potential to change the way we use, interact with, and view computers, but also the way we use, interact with, and view the world around us. In o...
Giacomino Veltri, Qingfeng Huang, Gang Qu, Miodrag...
Good network hardware performance is often squandered by overheads for accessing the network interface (NI) within a host. NIs that support user-level messaging avoid frequent ope...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Recently, there has been a growth in the amount of machine readable information pertaining to the biomedical field. With this growth comes a desire to be able to extract informati...
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...