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Exact(14)
The features were extracted from two channels (F3 and F4).
Then, the features were extracted using shape local binary texture and Gabor.
In both cases, the features were extracted from motion images, instead of the original video recordings.
The features were extracted in a fingerprint recognition system that was used in [10].
The features were extracted from time, frequency, time frequency, and time-scale domains.
In some cases, the features were extracted from a spatial region where a large perspective change occurred.
Similar(46)
In the second feature extraction approach, the features are extracted directly from the short time frames.
The features are extracted from the four KFs surrounding the WZF that has to be estimated.
The features are extracted using a static analyzer that examines bytecode.
The features are extracted and conditional posterior probabilities are computed for those segments.
In other words, rather than extracting the features from, the features are extracted from TFM of as defined below (8).
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CEO of Professional Science Editing for Scientists @ prosciediting.com