In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
An important part of implementing device drivers is to control the interrupt facilities of the hardware platform and to program interrupt handlers. Current methods for handling in...
Stephan Korsholm, Martin Schoeberl, Anders P. Ravn
This paper addresses the issue of type safe algorithmic skeletons. From a theoretical perspective we contribute by: formally specifying a type system for algorithmic skeletons, an...
Abstract. Type Classes have met a large success in Haskell and Isabelle, as a solution for sharing notations by overloading and for specith abstract structures by quantification o...