Abstract. Variational methods for optic flow computation have the reputation of producing good results at the expense of being too slow for real-time applications. We show that re...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
In modern systems, developers are often unable to modify the underlying operating system. To build services in such an environment, we advocate the use of gray-box techniques. Whe...
In the analysis of multidimensional data sets questions involving detection of extremal events, correlations, patterns and trends play an increasingly important role in a variety ...
Christian Tominski, James Abello, Heidrun Schumann
This paper presents an hybrid segmentation technique that combines both the speed of an edge based approach with the robustness of a surface based approach. It consists of three s...