Users often do not require a complete answer to their query but rather only a sample. They expect the sample to be either the largest possible or the most representative (or both)...
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Cache optimizations typically include code transformations to increase the locality of memory accesses. An orthogonal approach is to enable for latency hiding by introducing prefet...
Use of web services also on mobile devices becomes increasingly relevant. However, realizing such mobile web services based on the standard protocol stack is often inappropriate f...
Sonja Zaplata, Viktor Dreiling, Winfried Lamersdor...
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...