In designing autonomous agents that deal competently with issues involving time and space, there is a tradeoff to be made between guaranteed response-time reactions on the one han...
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
In this paper a new very low bit rate video coding scheme is presented. It is based on a forward motion estimation technique using an image warping model, thus delivering the basi...
Guido Heising, Kai Uwe Barthel, W. Johannsen, C. S...
We simulate the intravasation of liquid distention media into the systemic circulation as it occurs during hysteroscopy and transurethral resection of the prostate. A linear networ...
Stefan Tuchschmid, Michael Bajka, Dominik Szczerba...
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...