We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from the perspective of algorithmic mechanism desig...
We investigate the problem of local reconstruction, as defined by Saks and Seshadhri (2008), in the context of error correcting codes. The first problem we address is that of me...
Distributed real-time automotive embedded systems have to be highly dependable as well as cost-efficient due to the large number of manufactured units. To close the gap between r...
Dietmar Schreiner, Markus Schordan, Karl M. Gö...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...