Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
This paper describes a new property checking approach in order to enhance the diagnosis ability of an electronic embedded system, included in an automotive application. We conside...
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...