We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance ...
— We address the problem of energy efficient sensing by adaptively coordinating the sleep schedules of sensor nodes while guaranteeing that values of sleeping nodes can be recov...
The Web information space is rapidly growing in the size and the diversity of both its data and its audience. A consequence is that Web Information Systems (WIS) in many applicati...
Peter Barna, Flavius Frasincar, Geert-Jan Houben, ...