The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
We present the study of a data-driven motion synthesis approach based on a 1D affine imagematching equation. We start by deriving the relevant properties of the exact matching oper...
This paper addresses the problem of component selection, task assignment and task scheduling for distributed embedded computer systems. Such systems have a large number of constra...
Abstract. In this paper, we present the PARO design tool for the automated hardware synthesis of massively parallel embedded architectures for given dataflow dominant applications....
Frank Hannig, Holger Ruckdeschel, Hritam Dutta, J&...
We consider the distributed implementability problem as: Given a labeled transition system TS together with a distribution ∆ of its actions over a set of processes, does there ex...