114 citations · 251 across the 17 of their papers we have counts for
3 papers · 1 filter
Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase
Jan Graßhoff, Alexandra Jankowski, Philipp Rostalski
The application of Gaussian processes (GPs) to large data sets is limited due to heavy memory and computational requirements. A variety of methods has been proposed to enable scala…
Convolutive Blind Source Separation on Surface EMG Signals for Respiratory Diagnostics and Medical Ventilation Control
Herbert Buchner, Eike Petersen, Marcus Eger +1
The electromyogram (EMG) is an important tool for assessing the activity of a muscle and thus also a valuable measure for the diagnosis and control of respiratory support. In this…
On Approximate Nonlinear Gaussian Message Passing On Factor Graphs
Eike Petersen, Christian Hoffmann, Philipp Rostalski
Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control. One capa…