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JMLR
2010
82views more  JMLR 2010»
15 years 1 months ago
On Spectral Learning
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
225
Voted
TSP
2010
15 years 1 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
TWC
2010
15 years 1 months ago
Fast algorithms for joint power control and scheduling in wireless networks
This paper studies the problem of finding a minimum-length schedule of a power-controlled wireless network subject to traffic demands and SINR (signal-to-interferenceplus-noise rat...
Liqun Fu, Soung Chang Liew, Jianwei Huang
CORR
2011
Springer
155views Education» more  CORR 2011»
14 years 10 months ago
On the Generation of Positivstellensatz Witnesses in Degenerate Cases
One can reduce the problem of proving that a polynomial is nonnegative, or more generally of proving that a system of polynomial inequalities has no solutions, to finding polynomi...
David Monniaux, Pierre Corbineau
ICASSP
2011
IEEE
14 years 10 months ago
Saturation-robust SAR image formation
The formation of synthetic aperture radar (SAR) images is formulated as an inverse problem, a flexible approach suitable for a variety of acquisition systems and signal models. T...
Dennis Wei, Petros Boufounos