We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Abstract. In this paper we present a novel approach to visualize irregularly occurring events. We introduce the event line view designed specifically for such events data (a subset...
Kresimir Matkovic, Alan Lez, Denis Gracanin, Andre...
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
There is a growing trend of enabling users to view diverse sources of data in an integrated manner, called visual mashups. This paper addresses the problem of how to visualize div...
Today’s data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sour...