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Because the divergence based features have a large number of possible values, we first binned those values into a smaller number by the method of Fayyad & Irani [ 51].
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NetFlow based features (or flow based features) have been used to detect anomalies including botnets in a high speed, large volume data networks.
Another observation is that the wavelet based features have maintained almost the same values of η for all considered modulations.
General wavelet-based features have been proposed for image indexing and retrieval which can be computed during JPEG2000 compression (cf. [23]).
Eye component; Gabor jets-based features have been successfully used for analyzing the eye features providing classification rates of over 90% as well as fast convergence, surpassing other state-of-the-art methods [45, 55, 56].
The features, classification methods, and AUs analyzed in each component are detailed below: Eye component; Gabor jets-based features have been successfully used for analyzing the eye features providing classification rates of over 90% as well as fast convergence, surpassing other state-of-the-art methods [45, 55, 56].
In contrast, SIFT, a widely used predictor of deleterious SAPs based on sequential features, has a prediction accuracy of 71.05% on the same dataset.
Machine learning methods based on local features have shown promising results in catenary fitting fault detection.
Several of these base-pairing features have highlighted the importance of QM calculations for the proper interpretation of experimental data and in refining X-ray crystallographic data.
Recently, two deep neural network methods based on atom-pair features have been reported [41, 42].
Because the users may be interested to know the length and chirality of APPs, browsing interfaces to extract data based on these two features have therefore been developed.
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CEO of Professional Science Editing for Scientists @ prosciediting.com