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Ten different sequence based features are used to predicting the correct hyperfold.
Hence, content based features are used to detect the attacks.
Seven graph based features are used to characterize the topological structure of the network and utilize them to detect botnets.
Thus features based on physiochemical properties are taken into consideration, and PCA and NLF based features are used in this paper.
Similar(56)
Local topology based features were used to qualitatively describe possible flux deviations.
A 48-dimensional color histogram-based feature is used for this purpose.
Thus, often simple pixel-based features are used as face descriptors.
The t f image-based features are used to describe the non-stationary nature of the EEG signals.
It is noted that in Table 4, '2D' denotes that the two distance-based features are used alone for classifier training and testing.
Most current prediction methods do not perform well when only structure-based features are used.
Importantly, these features are used based on the practical film theory that they guide viewer attention (Eisenstein, 1948; Murch, 2001; Spielberg, 2013).
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