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CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
15 years 10 months ago
Subgradient methods and consensus algorithms for solving convex optimization problems
— In this paper we propose a subgradient method for solving coupled optimization problems in a distributed way given restrictions on the communication topology. The iterative pro...
Björn Johansson, Tamás Keviczky, Mikae...
175
Voted
MP
2002
195views more  MP 2002»
15 years 3 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
101
Voted
TSP
2008
100views more  TSP 2008»
15 years 4 months ago
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria
We consider the problem of estimating and detecting sparse signals over a large area of an image or other medium. We introduce a novel cost function that captures the tradeoff bet...
Eran Bashan, Raviv Raich, Alfred O. Hero III
CORR
2011
Springer
261views Education» more  CORR 2011»
14 years 11 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
DAGM
2009
Springer
15 years 10 months ago
Non-parametric Single View Reconstruction of Curved Objects Using Convex Optimization
Martin R. Oswald, Eno Töppe, Kalin Kolev, Dan...