A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
The emergence of multicore processors has heightened the need for effective parallel programming practices. In addition to writing new parallel programs, the next generation of pr...
William Thies, Vikram Chandrasekhar, Saman P. Amar...
This paper is concerned with the efficient transmission of scalable compressed images over lossy communication channels. Recent works have proposed several strategies for assignin...