This paper presents a parallel version for the Propagation Algorithm which belongs to the region growing family of algorithms. The main goal of our implementation is to decrease de...
: Computational and data Grids couple geographically distributed resources such as high performance computers, workstations, clusters, and scientific instruments. Grid Workflows co...
David Abramson, Jagan Kommineni, John L. McGregor,...
This paper presents two visualization techniques suitable for huge oceanography time-varying volume datasets on high-performance graphics workstations. We first propose an off-lin...
Energy efficient transfer of data from sensors is a fundamental problem in sensor networks. In this paper, we propose a distributed beamforming approach to this problem, with a cl...
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...