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The methods considered are compared in several numerical examples.
The performance of the face recognition methods considered are sorted by their rank-1 recognition rates.
For the baseline category (Office and PETS2006 datasets), the performances of all methods considered are acceptable.
The three methods considered are a noise metric developed by Hosder et al.
Other reduction methods considered are the reduction to modal co-ordinates and a balanced realization approach.
The methods considered are: our adaptive scheme (AdSch), least squares (LS), Wilcoxon (Wil), and maximum likelihood (mle).
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The methods considered were based on gradient direction, directional openings and morphological granulometry.
Focusing on preferably fast and easily applicable approaches, the fractionation methods considered were dialysis, centrifugation, ultrafiltration (UF), and tangential flow filtration (TFF).
Other methods considered were a retrospective cohort and a cross-sectional study using a self-reported written questionnaire sent by mail.
Another method considered is based on full-dimensional trajectory calculations of binary collisions.
The final method considered was matching.
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