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Though the microstructural features across the graded alloy correspond to those typically observed in α/β Ti alloys, the scale of the features is refined in a number of cases.
This property makes the Mahalanobis distance independent of the scale of the features.
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The combined Xcough, Xnon-cough matrix is first auto-scaled (scaling of the feature values to zero mean and unit variance [ 28, 29]) then as defined by PCA, only the scores that describe more than 0.5% of the variance are used.
We found that mapping error was highest when the scale of the feature and the raster grid coincided.
The horizontal scale of the feature may provide a key.
For feature matching, they introduced a modified correlation measure to obtain a similarity index for each scale of the feature vector.
For feature matching, we introduce a modified correlation measure to obtain a similarity index for each scale of the feature vector.
For matching these features across images, a modified correlation measure is introduced in order to obtain a similarity index for each scale of the feature vector.
This would be due to ORB being robust to shifting and scaling of the features of the spectrogram image query.
Nevertheless by appropriate scaling of the features, the AFM data can be used as an approximate guide to the surface morphology.
The scale of these features and their random distribution coincides with the scale and distribution of non-uniformities observed in the crystallized ribbons as droplet-like featureless areas.
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