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ICASSP
2009
IEEE
14 years 3 months ago
A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise
Iterative optimization algorithms such as the forward-backward and Douglas-Rachford algorithms have recently gained much popularity since they provide efficient solutions to a wi...
Nelly Pustelnik, Caroline Chaux, Jean-Christophe P...
ICASSP
2011
IEEE
12 years 12 months ago
Proximal splitting methods for depth estimation
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In ...
Mireille El Gheche, Jean-Christophe Pesquet, Jouma...
ORL
2008
124views more  ORL 2008»
13 years 8 months ago
Sample average approximation of expected value constrained stochastic programs
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example, in portfolio s...
Wei Wang, Shabbir Ahmed
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
14 years 1 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 2 months ago
Fitness-based neighbor selection for multimodal function optimization
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Shin Ando, Shigenobu Kobayashi