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This operation ensures that the centres of the pictures and the selected features are in the correct relationship.
The selected features are given by (22).
The selected features were presented to SVM classifier.
The selected features were then used for classification using C4.5 decision tree algorithm.
The selected features also determine the best IMFs that can be used in diagnosis of cavitation.
The selected features may be suitable for special problems but not for other problems.
The selected features are later classified using a multi-class SVM for action recognition.
Finally, the selected features were classified with a boosted tree algorithm.
The selected features of the detected On cycles were converted to BoWR.
Histograms are created to understand the distribution of the selected features.
The selected features are compared with the results reported in [14].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com