The method of Moving Least Squares (MLS) is a popular framework for reconstructing continuous functions from scattered data due to its rich mathematical properties and well-underst...
Christian Ledergerber, Gaël Guennebaud, Miriah ...
— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
The computational requirements for an adaptive solution of unsteady problems change as the simulation progresses. This causes workload imbalance among processors on a parallel mac...
Power-Efficient DRAM Speculation (PEDS) is a power optimization targeted at broadcast-based sharedmemory multiprocessor systems that speculatively access DRAM in parallel with the...
Nidhi Aggarwal, Jason F. Cantin, Mikko H. Lipasti,...
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...