The Iceberg-Cube problem restricts the computation of the data cube to only those group-by partitions satisfying a minimum threshold condition defined on a specified measure. In t...
This paper introduces basic principles for extending the classical systolic synthesis methodology to multi-dimensional time. Multi-dimensional scheduling enables complex algorithm...
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...