Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
Abstract-- Mobile location estimation is becoming an important value-added service for a mobile phone operator. It is well-known that GPS can provide an accurate location estimatio...
A program is defined to be noninterferent if its outputs cannot be influenced by inputs at a higher security level than their own. Various researchers have demonstrated how this pr...
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
The automatic creation of 3D models of urban spaces has become a very active field of research. This has been inspired by recent applications in the location-awareness on the Inte...
Franz Leberl, Horst Bischof, Helmut Grabner, Stefa...