The trend towards autonomic systems emphasizes the need for implementation frameworks for autonomic features. In this paper we describe a general framework for the development of ...
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
Abstract. Addressed in this paper is the problem of conceptual heterogeneity within the field of information systems. Two frameworks, Frisco and S¨oderstr¨om, each reflecting t...
In MRI research labs, algorithms are typically implemented in MATLAB or IDL. If performance is an issue they are ported to C and integrated with interpreted systems, not fully uti...
Aleksander B. Demko, Rodrigo A. Vivanco, Nicolino ...
We present a framework for representing the trajectories of moving objects and the time-varying results of operations on moving objects. This framework supports the realization of ...
Ludger Becker, Henrik Blunck, Klaus Hinrichs, Jan ...