Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
In this paper, we propose an automatic learning method for gesture recognition. We combine two different pattern recognition techniques: the SelfOrganizing Map (SOM) and Support Ve...
Abstract. We present a compositional trace-based model for probabilistic systems. The behavior of a system with probabilistic choice is a stochasticprocess, namely, a probability d...
System-level design methodologies for embedded HW/SW systems face several challenges: In order to be susceptible to systematic formal analysis based on state-space exploration, a ...
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular fa...
Wolfgang Maass, Robert A. Legenstein, Nils Bertsch...