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TSP
2010
15 years 1 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
TASE
2012
IEEE
14 years 2 months ago
Discrete-Event Coordination Design for Distributed Agents
— This paper presents new results on the formal design of distributed coordinating agents in a discrete-event framework. In this framework, agents are modeled to be individually ...
Manh Tung Pham, Kiam Tian Seow
PPOPP
2010
ACM
16 years 4 months ago
Application heartbeats for software performance and health
Adaptive, or self-aware, computing has been proposed to help application programmers confront the growing complexity of multicore software development. However, existing approache...
Henry Hoffmann, Jonathan Eastep, Marco D. Santambr...
MOBIHOC
2006
ACM
16 years 6 months ago
DRAND: : distributed randomized TDMA scheduling for wireless ad-hoc networks
This paper presents a distributed implementation of RAND, a randomized time slot scheduling algorithm, called DRAND. DRAND runs in O() time and message complexity where is the max...
Injong Rhee, Ajit Warrier, Jeongki Min, Lisong Xu
CCGRID
2008
IEEE
16 years 1 months ago
Modeling "Just-in-Time" Communication in Distributed Real-Time Multimedia Applications
—The research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and archives. In re...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...