A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Key issues to address in autonomic job recovery for cluster computing are recognizing job failure; understanding the failure sufficiently to know if and how to restart the job; an...
Charles Earl, Emilio Remolina, Jim Ong, John Brown
Efficient data movement is an important part of any highperformance I/O system, but it is especially critical for the current and next-generation of massively parallel processing ...
Ron Oldfield, Patrick Widener, Arthur B. Maccabe, ...
We propose a method for segmentation of frontal human portraits from arbitrary unknown backgrounds. Semantic information is used to project the face into a normalized reference fr...
David C. Schneider, Benjamin Prestele, Peter Eiser...