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It turns out that there is a striking tension between robustness and computational efficiency.
Nevertheless, both methods provide a reasonably good trade-off between robustness and computational complexity.
Our feeling is that simple mixture models, based on an array of a fixed, and low, number of pre-specified empirical amino-acid profiles will be the best compromise between robustness and computational efficiency.
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Ample (Fernandez Pierna et al. 2002) introduced robustness and computational approaches that include Huber (1981) robust statistics and different estimation algorithms.
To achieve a high robustness and computational efficiency of automated visual inspection, interdisciplinary knowledge between precision manufacturing and advanced image-processing techniques is required in the novel system design.
Robustness and computational time are particularly sensitive issues.
The robustness and computational efficiency of the model is illustrated.
New methods have to balance accuracy, robustness and computational effort.
Experiments demonstrate the effectiveness, robustness and computational efficiency of the proposed approach.
Systematic empirical results illustrate the robustness and computational efficiency of the approach.
One case study illustrating the methodology, robustness and computational performance is presented.
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