This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
The shift to multi-core hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommod...
Ryan Johnson, Ippokratis Pandis, Radu Stoica, Mano...
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Stream processors are high-performance programmable processors optimized to run media applications. Recent work has shown these processors to be more area- and energy-efficient th...
Brucek Khailany, William J. Dally, Scott Rixner, U...
—Sequence alignment is a fundamental instrument in Bioinformatics. In recent years, numerous proposals have been addressing the problem of accelerating this class of applications...