The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all...
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Abstract. Point matching is crucial for many computer vision applications. Establishing the correspondence between a large number of data points is a computationally intensive proc...
Lin Yang, Leiguang Gong, Hong Zhang, John L. Noshe...
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
Finding the best makeup for a given human face is an art in its own right. Experienced makeup artists train for years to be skilled enough to propose a best-fit makeup for an ind...
Kristina Scherbaum, Tobias Ritschel, Matthias B. H...