A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
The paper is dedicated to an open T-system (OpenTS) — a programming system that supports automatic parallelization of computations for high-performance and distributed applicatio...
Sergey Abramov, Alexey I. Adamovich, Alexander Iny...
This poster is a case study on the application of a novel programming model, called Concurrent Collections (CnC), to the implementation of an asynchronous-parallel algorithm for c...
A central problem in sensor network security is that sensors are susceptible to physical capture attacks. Once a sensor is compromised, the adversary can easily launch clone attac...
Kai Xing, Fang Liu, Xiuzhen Cheng, David Hung-Chan...
We introduce Scioto, Shared Collections of Task Objects, a lightweight framework for providing task management on distributed memory machines under one-sided and globalview parall...
James Dinan, Sriram Krishnamoorthy, D. Brian Larki...