Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Abstract. Ontology matching has become an important field of research over the last years. Although many different approaches have been proposed, only few of them are committed t...
Ever increasing complexity and heterogeneity of SoC platforms require diversified on-chip communication schemes beyond the currently omnipresent shared bus architectures. To prev...
Tim Kogel, Malte Doerper, Andreas Wieferink, Raine...
This paper explores the possibility of using low-level activity spotting for daily routine recognition. Using occurrence statistics of lowlevel activities and simple classifiers b...
The relationship between graph coloring and the immersion order is considered. Vertex connectivity, edge connectivity and related issues are explored. These lead to the conjecture...