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Since also the feature extraction technique exhibiting more or less tolerance for segmentation inaccuracies can have an impact on (recognition-based) evaluation results, we test all combinations with two different classical wavelet-based feature extraction techniques: quality assessment and selection of spatial wavelets (QSW) and 1-D Log-Gabor (LG) (see Table 4 for more information).
Any glitch in the computerization increases the chances for inaccuracy.
Different tolerance for risk?
Zero tolerance for cheaters!
Zero tolerance for frivolities.
A tolerance for banality helps.
Tolerance for entrepreneurship is also increasing.
Her tolerance for alcohol is lower, too.
So our tolerance for failure is lower.
How about a little tolerance for me?
Management has zero tolerance for negativity.
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