The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Abstract. In this paper, we propose a 2/3-rate double length compression function and study its security in the black-box model. We prove that to get a collision attack for the com...
In many applications surfaces containing a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is gi...
This paper focuses on reducing memory usage in enumerative model checking, while maintaining the multi-core scalability obtained in earlier work. We present a multi-core tree-based...
Alfons Laarman, Jaco van de Pol, Michael Weber 000...
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...