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» Using Gaussian Processes to Optimize Expensive Functions
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CEC
2008
IEEE
14 years 2 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
IPCO
2010
153views Optimization» more  IPCO 2010»
13 years 5 months ago
An Effective Branch-and-Bound Algorithm for Convex Quadratic Integer Programming
We present a branch-and-bound algorithm for minimizing a convex quadratic objective function over integer variables subject to convex constraints. In a given node of the enumerati...
Christoph Buchheim, Alberto Caprara, Andrea Lodi
CSDA
2011
13 years 2 months ago
Approximate forward-backward algorithm for a switching linear Gaussian model
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
Hugo Hammer, Håkon Tjelmeland
TIP
2011
170views more  TIP 2011»
13 years 2 months ago
Image Denoising in Mixed Poisson-Gaussian Noise
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
Florian Luisier, Thierry Blu, Michael Unser
DATE
2008
IEEE
89views Hardware» more  DATE 2008»
14 years 2 months ago
Symbolic Reliability Analysis and Optimization of ECU Networks
Increasing reliability at a minimum amount of extra cost is a major challenge in todays ECU network design. Considering reliability as an objective already in early design phases ...
Michael Glaß, Martin Lukasiewycz, Felix Reim...