In the context of computational grids, a metascheduler is the service responsible for scheduling jobs across many geographically distributed processor clusters. Typically, these s...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
Location-based context is important for many applications. Previous systems offered only coarse room-level features or used manually specified room regions to determine fine-sca...
David Demirdjian, Konrad Tollmar, Kimberle Koile, ...
In this paper, we discuss how to utilize the co-occurrence of answers in building an automatic question answering system that answers a series of questions on a specific topic in ...
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...