This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Abstract—Power dissipation has constrained the performance boosting of modern computer systems in the past decade. Dynamic power management has been widely applied to change the ...
Kai Huang, Luca Santinelli, Jian-Jia Chen, Lothar ...
Abstract— This paper addresses when and how to adjust bandwidth allocations between uplink and downlink in a multi-service wireless network with bandwidth asymmetry under dynamic...
In this paper we present the architecture and framework for a benchmark suite that has been developed as part of the DeSiDeRaTa project. The proposed benchmark suite is representat...
Behrooz Shirazi, Lonnie R. Welch, Binoy Ravindran,...
Physics-based modeling integrates dynamics and geometry. The standard methods to solve the Lagrangian equations use a direct approach in the spatial domain. Though extremely power...