Sentence examples for features extraction from inspiring English sources

It is common for the features extracted from the features extraction process to be used directly by the classifier in the classification process.

Firstly, the time domain, frequency domain, time frequency domain features extraction methods are employed to extract the original features from the mass vibration signals.

Topics features extraction.   5.

Figure 4 Steps for wavelet features extraction.

Figure 6 shows the processing chain of features extraction.

Table 3 Classification results; proposed features extraction method.

Classifying fingerprint images may require an important features extraction step.

In this preprocessing II, we will apply features extraction.

Moreover the generally complex task of features extraction and matching is avoided.

The features extraction algorithm is based on the Wavelet Transform (WT).

The activity selection and the local features extraction are the bases of the proposed techniques.