In this paper we propose a novel finite-horizon, discrete-time, time-varying filtering method based on the robust semidefinite programming (SDP) technique. The proposed method prov...
Lingjie Li, Zhi-Quan Luo, Timothy N. Davidson, Kon...
Skyline queries are important due to their usefulness in many application domains. However, by increasing the number of attributes, the probability that a tuple dominates another ...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
In this paper we address the problem of reducing the role mining complexity in RBAC systems. To this aim, we propose a three steps methodology: first, we associate a weight to rol...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
Name ambiguity problem has raised urgent demands for efficient, high-quality named entity disambiguation methods. In recent years, the increasing availability of large-scale, rich...
In this paper, we present an efficient method to solve the obstacle-avoiding rectilinear Steiner minimum tree (OARSMT) problem optimally. Our work is a major improvement over the w...