— The input-queued switch architecture is widely used in Internet routers, due to its ability to run at very high line speeds. A central problem in designing an input-queued swit...
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
Vanishing points provide valuable information regarding the camera model used to capture an image. To explore the relationship between classes of camera models and the location of...
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
Large–scale parallel applications performing global synchronization may spend a significant amount of execution time waiting for the completion of a barrier operation. Conseque...