Abstract. We propose a polynomial-time decision procedure for hereditary history preserving bisimilarity (hhp-b) on Basic Parallel Processes (BPP). Furthermore, we give a sound and...
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
Abstract. Computer vision is a challenging data intensive application. Currently, superscalar architectures dominate the processor marketplace. As more transistors become available...
Yongwha Chung, K. Park, W. Hahn, Neungsoo Park, Vi...
We propose a distributed data structure for maintaining spatial data sets on message-passing, distributed memory machines. The data structure is based on orthogonal bisection tree...
Scalability is a crucial factor in performance evaluation and analysis of parallel and distributed systems. Much effort has been devoted to scalability research and several metric...