Abstract. This paper presents our novel protocol design and implementation of an all-software page-based DSM system. The protocol combines the advantages of homeless and home-based...
Byung-Hyun Yu, Paul Werstein, Martin K. Purvis, St...
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
With the widening performance gap between processors and main memory, efficient memory accessing behavior is necessary for good program performance. Loop partition is an effective...
Word alignment plays a central role in statistical MT (SMT) since almost all SMT systems extract translation rules from word aligned parallel training data. While most SMT systems...
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...