We propose a radical approach to relational query processing that aims at automatically and consistently achieving a good performance on any memory hierarchy. We believe this auto...
Management of large data repositories integrated into the Grid poses new challenges for Grid research. There already exist several successful Data Grid projects addressing process...
Bernhard Fiser, Umut Onan, Ibrahim Elsayed, Peter ...
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
A new technique to acquire pseudo-noise (PN) sequences has been recently proposed in [1] and [2]. It is based on the paradigm of iterative Message Passing (iMP) to be run on loopy...
Large-scale sensor network applications require in-network processing and data fusion to compute statistically relevant summaries of the sensed measurements. This paper studies di...
Jeremy Schiff, Dominic Antonelli, Alexandros G. Di...