Jochen Schaab

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A well-known problematic issue for the gazetteer services that many geospatial applications depend on is the lack of spatial footprints of imprecise regions. We present an automated method of footprint generation based on the statistical evaluation of a set of points, which are assumed to lie in the region. Two statistical methods, Kernel Density Estimation(More)
In this paper, different models of the pressure buildup inside a hydraulic servoaxis are compared. These models are obtained using RBF networks, local linear models and support vector machines (SVMs), with a particular focus on the latter. For SVMs, a reduction method is derived, which allows to reduce the number of support vectors without losing the(More)
This contribution describes a classification technique that improves the heart rate estimation during hemodialysis treatments. After the heart rate is estimated from the pressure signal of the dialysis machine, a classifier decides if it is correctly identified and rejects it if necessary. As the classifier employs a support vector machine, special interest(More)
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