In this paper we propose an efficient parallel algorithm with simple static and dynamic scheduling for generating combinations. It can use any number of processors (NP ≤ n − ...
We present an algorithm for automatic locating of anthropometric landmarks on 3D human scans. Our method is based on learning landmark characteristics and the spatial relationship...
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Previous studies have proposed techniques to dynamically change the architecture of a processor to better suit the characteristics of the workload at hand. However, all such appro...
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...