Efficient discovery and resource allocation is one of the challenges of current Peer-to-Peer systems. In centralized approaches, the user requests can be matched to the fastest, ch...
Oscar Ardaiz, Pau Artigas, Torsten Eymann, Felix F...
The major limitation in bilingual latent semantic analysis (bLSA) is the requirement of parallel training corpora. Motivated by semi-supervised learning, we propose a clusterbased...
Abstract— Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. In this paper, two new, determin...
: We investigated different parallel SIMD (single instruction multiple data) architectures based on pure programmable and reconfigurable approaches for their appropriateness for in...
We introduce a refinement strategy to bring the parallel performance analysis closer to the user. The analysis starts with a simple high-level performance model. It is based on fir...
Jan Lemeire, Andy Crijns, John Crijns, Erik F. Dir...