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Many deformable registration methods minimize sum of squared difference (SSD) as the registration cost with respect to deformable model parameters.
A firm wants to minimize sum of discounted total cost of satisfying demands for a single input.
Similar MMSE schemes with a multi-antenna relay were proposed to minimize sum mean square error (MSE) of all the users in [7, 11] for multi-way relaying.
The main objective of Function (12) is to minimize sum of the total transportation cost for the vehicles of coalition S m.
The method finds the optimal design of the vehicle by iteratively using dynamic programming (DP) and convex optimization to minimize sum of operational and component costs over a given driving cycle.
end{aligned} (4)In the optimization problem as shown in Eq. (4), we minimize (sum _{j=1}^{m}R_{j}^{2}) to maximize the generalization capacity of the model.
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Lasso applies linear discriminant analysis with minimizing sum of regression coefficients.
In all cases similarity between scans was measured by minimizing summed squared differences (SSD), maximizing normalized cross correlation (NCC) or maximizing mutual information (MI) [9].
Semi-landmark sliding was computed by minimizing summed procrustes distances between samples and the average shape.
We use regression analysis assuming normally distributed errors (minimizing sums of squares) and Poisson distributed errors (maximizing Poisson log-likelihood).
The fit for each model to observed counts of observed waterbirds is performed using regression analysis, minimizing sums of squares by assuming both normally distributed and log-normally distributed errors.
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