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How does the process of "featuring" work?
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Section 3 describes the process of feature extraction using the continuous wavelet transform.
Training and testing the classifier are two important activities in the process of feature classification.
Many environments can be used to facilitate the process of feature extraction, such as the frameworks described by [43 45].
The process of feature selection is responsible for electing a subset of features, which can be described as a search into a state space.
Therefore, it is inappropriate to delete a great number of words simply based on the word frequency in the process of feature selection [11, 12]. 2.
The process of features ranking is performed by two kinds of meta-nodes including "Model Validation" and "mean(%MSE) Calculator" (Additional file 1: Figure S3 and Figure S4).
In "On-line signature verification using fourier descriptors," Yanikoglu and Khomatov involve Fourier descriptors in the process of feature extraction and template formation.
In the process of feature extraction, the time frequency representation (TFR) has been designed for maximizing the separability between classes representing different faults.
These fuzzy class labels promote the classification performances of CCA and kernel CCA (KCCA) through incorporating distribution information into the process of feature extraction.
Optimization methods can be used in the process of feature selection to determine the most relevant subset of features from the data set while maintaining adequate accuracy rate represented by the original set of features.
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