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In this study, through shape error metric (" Validation metrics" section), cMEM reconstructed time courses were evaluated for the first time.
However, for some applications, other error metrics such as the maximum absolute error (MAXE) may be the error metric of interest.
For an error metric, we used Barron [19], considered to be one of the most accepted metrics in the specialized literature.
An error metric of the population neural activity is used in this case.
The cycle is repeated until the error metric satisfies a preset convergence criterion.
The KKT-based error metric termination criterion is implemented for successful termination of the proposed algorithm.
An error metric, to measure the amount of earing, is constructed for the resulting cup.
This error metric is then used to re-design the initial blank shape.
From the error metric, the proposed KF algorithm proved effective in identifying noise sources.
The two indicators are combined to form a single error metric that is used to adapt the finite element mesh.
The matching error metric is used to determine the regions of the parameter space where each filter variant performs better.
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