We investigate the following problem: Given a set of documents of a particular topic or class ?, and a large set ? of mixed documents that contains documents from class ? and othe...
Object detection in video surveillance is typically done through background subtraction or temporal differencing. While these techniques perform very well under scenes where there...
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Several new protocols such as RBUDP, User-Level UDP, Tsunami, and SABUL, have been proposed as alternatives to TCP for high speed data transfer. The purpose of this paper is to an...
Phoemphun Oothongsap, Yannis A. Viniotis, Mladen A...
Simulation can be an effective way to evaluate alternative decisions in Sense-and-Respond systems prior to taking actions to resolve existing or anticipated business situations. I...
Paul Huang, Young M. Lee, Lianjun An, Markus Ettl,...