We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Finding data items is one of the most basic services of any distributed system. It is particular challenging in ad-hoc networks, due to their inherent decentralized nature and lac...
With the advent of ubiquitous multi-core architectures, a major challenge is to simplify parallel programming. One way to tame one of the main sources of programming complexity, n...
Luis Ceze, Pablo Montesinos, Christoph von Praun, ...
Abstract. Gene rearrangements have been used successfully in phylogenetic reconstruction and comparative genomics, but usually under the assumption that all genomes have the same g...
Krister M. Swenson, Nicholas D. Pattengale, Bernar...