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Registration is performed by optimizing a large scale numerical problem as given by a global objective function using one dense displacement field for each input volume and special regularization based on the time structure of the acquisition process.
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The empirical parameter was evaluated by minimizing a global objective function.
Anisotropy is used to estimate W P, H P, W H and H H by minimizing a global objective function that depends on a β-divergence cost, a percussive cost and a harmonic cost.
The algorithm estimates motion by iteratively optimizing a global objective function which captures two goals.
Towards a global objective to produce chemical derivatives by microbial processes, this work dealt with a metabolic engineering of the yeast Saccharomyces cerevisiae for glycerol production.
The overall performance is associated to a global objective whose break-down provides elementary objectives.
In order to estimate Disp t), a global objective function based approach that consists of two objectives is used.
A global objective function is optimized with respect to the parameters of the displacement fields.
After optimizing a global objective function, the displacement fields are estimated for each volume to correct for motion, then a single volume is constructed by merging each motion corrected volume.
In the balanced GNA problem, we replace the binary constraints on which pairs are allowed by a more global objective function that balances the matching of similar proteins with the conservation of interactions, with a parameter to smoothly control the trade-off between these two contradictory goals.
As stated in [9], by minimizing the global objective function, PWave yields a multi-path proportional routing scheme where the sensor node spreads its traffic across multiple paths inversely proportional to the cumulative path cost.
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