We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
This paper presents a method for learning decision theoretic models of facial expressions and gestures from video data. We consider that the meaning of a facial display or gesture...
—In mobile and wireless networks, data broadcasting for popular data items enables the efficient utilization of the limited wireless bandwidth. However, efficient data scheduli...
Adrian Daniel Popescu, Mohamed A. Sharaf, Cristian...
In this paper we present an approach to the synthesis of fault-tolerant schedules for embedded applications with soft and hard real-time constraints. We are interested to guarante...
Viacheslav Izosimov, Paul Pop, Petru Eles, Zebo Pe...
Abstract—We study the problem of dynamic resource allocation to clustered Web applications. We extend application server middleware with the ability to automatically decide the s...
David Carrera, Malgorzata Steinder, Ian Whalley, J...