In this paper we present an approach for creating user infrom abstract representations for the automotive domain. The approach is based on transformations between different user ...
Guido M. de Melo, Frank Honold, Michael Weber, Mar...
— This paper introduces stochastic port-Hamiltonian systems and clarifies some of their properties. Stochastic portHamiltonian systems are extension of port-Hamiltonian systems ...
We propose a method to identify planar regions in volume data using a specialized version of the discrete Radon transform operating on a structured or unstructured grid. The algori...
We propose a video denoising algorithm based on a spatiotemporal Gaussian scale mixture (ST-GSM) model in the wavelet transform domain. This model simultaneously captures local co...
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...