Large-scale CMPs with hundreds of cores require a directory-based protocol to maintain cache coherence. However, previously proposed coherence directories are hard to scale beyond...
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multidisciplinary expertise and large-scale computational experiments. The...
Chee Sun Liew, Malcolm P. Atkinson, Jano I. van He...
Most research on QoS-aware computing considers systems where code is generally partitioned into separately schedulable tasks with associated timing constraints. In sharp contrast ...
Ronghua Zhang, Tarek F. Abdelzaher, John A. Stanko...