Application specific instruction-set processors combine an efficient general purpose core with special purpose functionality that is tailored to a particular application domain. ...
Uwe Kastens, Dinh Khoi Le, Adrian Slowik, Michael ...
In this paper we describe Racer, which can be considered as a core inference engine for the semantic web. The Racer inference server offers two APIs that are already used by at le...
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Camera networks have gained increased importance in
recent years. Previous approaches mostly used point correspondences
between different camera views to calibrate
such systems....