Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...
Abstract. In this paper we introduce two novel algorithms for drawing sequences of orthogonal and hierarchical graphs while preserving the mental map. Both algorithms can be parame...
Abstract. This paper demonstrates and exploits some interesting frequency-domain properties of nonstationary signals. Considering these properties, two new methods for blind separa...
This paper presents a new technology that accelerates system verification. In a real life example, we achieved a speed-up of a factor of about 5000. The key for this speed-up is a...
Renate Henftling, Andreas Zinn, Matthias Bauer, Wo...
This paper presents a new approach to reversible cascade evolution based on a 3D cellular automaton. As a research platform we used the ATR’s CAMBrain Machine (CBM). Reversible ...