Abstract: In this demonstration we introduce a technology to support knowledge structuring processes already at the time of their creation by building up concept structures in real...
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...
The growing popularity of online Earth visualization tools and geo-realistic games and the availability of high resolution terrain data have motivated a new class of queries to th...
To what extent is it possible to disregard stimulus dimensions that are irrelevant to a certain task? This question was tackled in three experiments using the paradigm of comparat...
Marc Pomplun, E. Carbone, Lorenz Sichelschmidt, B....