The growing interest in ad hoc wireless network applications that are made of large and dense populations of lightweight system resources calls for scalable approaches to fault to...
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
Systems for syntactically parsing sentences have long been recognized as a priority in Natural Language Processing. Statistics-based systems require large amounts of high quality ...
We present sparse indexing, a technique that uses sampling and exploits the inherent locality within backup streams to solve for large-scale backup (e.g., hundreds of terabytes) t...
Mark Lillibridge, Kave Eshghi, Deepavali Bhagwat, ...