This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Reducing their energy consumption has become an important objective for many people. Consumption transparency and timely feedback are essential to support those who want to adjust...
Markus Weiss, Friedemann Mattern, Tobias Graml, Th...
Efficiently rendering highly structured models distant from the viewer constitutes a difficult task since the geometric complexity has to be reduced extremely while simultaneously...
Spatial organisation of information objects on a two or three dimensional plane or space has the advantage of revealing the connections between objects easily by spatial proximity...
This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...