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A feature vector containing 30 color features was extracted from the captured images.
In these experiments, an average of 650 features was extracted per full radar scan.
An extensive set of features was extracted quantifying volumetric and morphometric characteristics from MRI images, and vascular characteristics.
As explained earlier, for the case of HRV, a total of 96 features was extracted from the 64-s epoch, and an optimal 9 features represented by the 9 × 1 vector F ¯ HRV were used to train the classifiers.
Lampert and Breuel [19] analyzed the differences between laser and inkjet printouts; a set of 15 features was extracted from each character including line edge roughness, correlation coefficient, and texture.
The papers and reports were assessed for relevance, and information about potential features was extracted.
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Features were extracted using the feature extraction v10.1.0.0.0 software program.
Features were extracted with Agilent Feature extraction 9.1 software.
In the second feature extraction approach, the features are extracted directly from the short time frames.
In the feature extraction phase, eight types of features are extracted for each clip.
Next, features are extracted from the spectrum at the block denoted as "Feature extraction".
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CEO of Professional Science Editing for Scientists @ prosciediting.com