Finding an appropriate data transformation between two schemas has been an important problem. In this paper, assuming that an edit script between original and updated DTDs is avai...
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
Constrained local models (CLMs) have recently demonstrated good performance in non-rigid object alignment/tracking in comparison to leading holistic approaches (e.g., AAMs). A maj...
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Data replication is a central technique to increase availability and performance of distributed systems. While offering many advantages it also requires more effort for ensuring d...
Daniel Klan, Kai-Uwe Sattler, Katja Hose, Marcel K...