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Additionally, multiple logistic regression was used for statistical feature extraction.
The first category is mainly based on statistical feature learning method.
Linear discriminant analysis [22] is a supervised statistical feature extraction method frequently used in machine learning.
The value closer to one indicates a better statistical feature for pitting growth estimation.
The local mean of EMD can be used as a statistical feature for seizure detection.
First, discriminant statistical feature extraction is performed on the power signals in both the time-domain and frequency-domain.
Then, the modified genetic algorithm with variable-range encoding and dynamic searching strategy is used to optimize statistical feature subsets.
A statistical feature extraction technique is proposed in order to find a trend in detection of defects.
Various radiomics features were extracted from CT scans, and analyzed using statistical feature selection and prediction methods.
It is a metric to estimate the linear relationship between a single statistical feature and its corresponding label.
Such signals have a special statistical feature called cyclostationarity, that is, their statistical parameters vary periodically in time.
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