This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
In this paper we describe an application which takes a video shot as input and produces a compact representation composed by a background layer and segmented moving objects. We de...
Andrea Fusiello, M. Aprile, Roberto Marzotto, Vitt...
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
Abstract—This paper presents fundamental logic structures designed using novel quantum dot gate FETs with three-state characteristics. This three-state FET manifests itself as a ...
— In this paper, the application of combinatorial geometry to noncoherent multiple–symbol differential detection (MSDD) is considered. The resulting algorithm is referred to as...
Volker Pauli, Lutz H.-J. Lampe, Robert Schober, Ko...