We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
This paper presents a novel Scalar-field based Free-Form Deformation (SFFD) technique founded upon general flow constraints and implicit functions. In contrast to the traditiona...
ABSTRACT Because of technology advances power consumption has emerged up as an important design issue in modern high-performance microprocessors. As a consequence, research on redu...
Diana Bautista, Julio Sahuquillo, Houcine Hassan, ...
Linearizability is the strongest known consistency property of shared objects. In asynchronous message passing systems, Linearizability can be achieved with 3S and a majority of c...
Marco Serafini, Dan Dobre, Matthias Majuntke, P&ea...
This paper describes an approach to detect unknown event patterns. In this context, an event is not only something that happens, but also something that can be analysed. This task...
Alexander Widder, Rainer von Ammon, Philippe Schae...