A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Engine Control Systems (ECS) for automobiles have numerous variants for many manufactures and different markets. To improve development efficiency, exploiting ECS commonalities an...
In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We s...
Abstract. While processor based systems often enforce memory protection to prevent the unintended sharing of data between processes, current systems built around reconfigurable har...