Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
We consider storage in an extremely large-scale distributed computer system designed for stream processing applications. In such systems, incoming data and intermediate results ma...
Kirsten Hildrum, Fred Douglis, Joel L. Wolf, Phili...
This paper presents a trace-driven simulation study of two classes of retransmission timeout (RTO) estimators in the context of realtime streaming over the Internet. We explore th...
— In this paper, we study the problem of efficiently computing multiple aggregation queries over a data stream. In order to share computation, prior proposals have suggested ins...
K. V. M. Naidu, Rajeev Rastogi, Scott Satkin, Anan...