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Mean field annealing

Mean field annealing is a deterministic approximation to the simulated annealing technique of solving optimization problems. This method uses mean… 
Wikipedia

Related topics

Related topics

4 relations
ApproximationList of numerical analysis topicsSimulated annealing

Broader (1)

Mathematical optimization

Papers overview

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Highly Cited
2008
Highly Cited
2008
A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system
Highly Cited
2002
Highly Cited
2002
Super-resolution imaging: use of zoom as a cue
1998
1998
Symbolic graph matching with the EM algorithm
Highly Cited
1997
Highly Cited
1997
Optimal Broadcast Scheduling in Packet Radio Networks Using Mean Field Annealing
We present an efficient broadcast scheduling algorithm based on mean field annealing (MFA) neural networks. Packet radio (PR) is… 
Highly Cited
1995
Highly Cited
1995
Image and video compression algorithms based on recovery techniques using mean field annealing
Image and video coding algorithms have found a number of applications ranging from video telephony on the public switched… 
1992
1992
Discontinuity-preserving vector smoothing on multivariate MR images via vector mean-field annealing
One impcrtant potential ci Magnetic Resonance Imaging as comjxrcd to other medical imaging modalities is that MRI can produce… 
Highly Cited
1991
Highly Cited
1991
Competitive neural architecture for hardware solution to the assignment problem
1991
1991
MAP segmentation of magnetic resonance images using mean field annealing
An algorithm is described which segments magnetic resonance images while removing the noise from the images without blurring or… 
Highly Cited
1988
Highly Cited
1988
Optimization by Mean Field Annealing
Nearly optimal solutions to many combinatorial problems can be found using stochastic simulated annealing. This paper extends the… 
Highly Cited
1988
Highly Cited
1988
Range Image Restoration Using Mean Field Annealing
A new optimization strategy, Mean Field Annealing, is presented. Its application to MAP restoration of noisy range images is… 
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