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ICASSP
2011
IEEE
9 years 8 months ago
Bounded gradient projection methods for sparse signal recovery
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
James Hernandez, Zachary T. Harmany, Daniel Thomps...
ICIP
2010
IEEE
10 years 2 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...
TON
2010
279views more  TON 2010»
10 years 2 months ago
Distributed algorithms for minimum cost multicast with network coding
— We adopt the network coding approach to achieve minimum-cost multicast in interference-limited wireless networks where link capacities are functions of the signal-to-noise-plus...
Yufang Xi, Edmund M. Yeh
INFOCOM
1995
IEEE
10 years 7 months ago
Complexity of Gradient Projection Method for Optimal Routing in Data Networks
—In this paper, we derive a time-complexity bound for the gradient projection method for optimal routing in data networks. This result shows that the gradient projection algorith...
Wei Kang Tsai, John K. Antonio, Garng M. Huang
COLT
1995
Springer
10 years 7 months ago
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
David P. Helmbold, Yoram Singer, Robert E. Schapir...
PVM
2005
Springer
10 years 9 months ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
IPPS
2006
IEEE
10 years 10 months ago
Comparative study of price-based resource allocation algorithms for ad hoc networks
As mobile ad hoc networks provide a wide range of possibly critical services, providing quality of service guarantees becomes an essential element. Yet there is a limited understa...
Marcel Lüthi, Simin Nadjm-Tehrani, Calin Cure...
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