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» An algorithm for minimizing the Mumford-Shah functional
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ICASSP
2011
IEEE
13 years 15 days ago
Median filter with absolute value norm spatial regularization
We provide a novel formulation for computing median filter with spatial regularization as minimizing a cost function composed of absolute value norms. We turn this cost minimizat...
Nilanjan Ray
INFOCOM
2012
IEEE
11 years 11 months ago
Delay and rate-optimal control in a multi-class priority queue with adjustable service rates
—We study two convex optimization problems in a multi-class M/G/1 queue with adjustable service rates: minimizing convex functions of the average delay vector, and minimizing ave...
Chih-Ping Li, Michael J. Neely
ICML
2010
IEEE
13 years 9 months ago
On the Consistency of Ranking Algorithms
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
John Duchi, Lester W. Mackey, Michael I. Jordan
ATAL
2010
Springer
13 years 10 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
EWSN
2004
Springer
14 years 2 months ago
Networked Slepian-Wolf: Theory and Algorithms
Abstract. In this paper, we consider the minimization of a relevant energy consumption related cost function in the context of sensor networks where correlated sources are generate...
Razvan Cristescu, Baltasar Beferull-Lozano, Martin...