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ISCI
2010
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13 years 3 months ago
A new heuristic approach for non-convex optimization problems
In this work a new optimization method, called the heuristic Kalman algorithm (HKA), is presented. This new algorithm is proposed as an alternative approach for solving continuous,...
Rosario Toscano, Patrick Lyonnet
EMMCVPR
2005
Springer
13 years 10 months ago
Reverse-Convex Programming for Sparse Image Codes
Abstract. Reverse-convex programming (RCP) concerns global optimization of a specific class of non-convex optimization problems. We show that a recently proposed model for sparse ...
Matthias Heiler, Christoph Schnörr
ICCV
2005
IEEE
14 years 6 months ago
Globally Optimal Estimates for Geometric Reconstruction Problems
We introduce a framework for computing statistically optimal estimates of geometric reconstruction problems. While traditional algorithms often suffer from either local minima or ...
Fredrik Kahl, Didier Henrion