Abstract. In applications such as video post-production users are confronted with large amounts of redundant unedited raw material, called rushes. Viewing and organizing this mater...
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Many existing clusters use inexpensive Gigabit Ethernet and often have multiple interfaces cards to improve bandwidth and enhance fault tolerance. We investigate the use of Concurr...
Brad Penoff, Mike Tsai, Janardhan R. Iyengar, Alan...
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific dataset...