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These two error patterns, pair-wise errors ensuring local mis-assignments only and short non-occluded sequences as potential error domains, explain the low number of unoccluded frames that are mis-identified and result in desirable properties of the algorithm.
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The potential of improving safety this way resides in the human error domain and may not only reduce hitherto unaffected unsafe behaviour but also increase rule compliance on legislation, procedures and codes of conduct.
In this paper, an error-domain structural identification approach is proposed using ambient vibration monitoring (AVM) as the input.
More recently, error-domain model falsification (EDMF) has been shown to be useful for situations where little information is available to define the probability density function (PDF) of modeling errors.
Error-domain model falsification generates a space of possible model instances (combination of parameters), obtains predictions for each of them and then rejects instances that have unlikely differences (residuals) between predictions and measurements.
In this paper, the strategy used to compare the networks is error-domain model falsification, a previously developed methodology for data interpretation that combines engineering knowledge with models and data to enhance decision making.
In fact, the results show that the main misconfiguration error concerns domains that have no valid DS published in their respective TLD.
Examination of all differences in these predictions revealed 2 errors in domains that had been manually curated for prior versions of SCOP, as well as several truncation errors in domains that had been automatically classified for prior versions of SCOP.
Over the course of benchmarking, we uncovered a number of errors in domains in SCOP.
Future work will investigate the implementation of a minimum mean square error frequency-domain equalizer, requesting the additional estimation of the signal-to-noise ratio, to overcome the ZF performances.
These errors in domain boundaries in multi-domain chains were manually fixed in SCOPe 2.03.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com