We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
This paper presents a hybrid approach to automatic parallelization of computer programs which combines static extraction of threads (tasks) with dynamic scheduling for parallel an...
Ronald Moore, Melanie Klang, Bernd Klauer, Klaus W...
This paper offers new principles for visual information seeking (VIS). A key concept is to support browsing, which is distinguished from familiar query composition and information...
Abstract. We describe and model a new aspect in the design of distributed information systems. We build upon a previously described problem on the microlevel, which asks how quickl...