Sentence examples for groups of feature from inspiring English sources

By constructing local groups of feature extractors and classifiers and then combining them as a global group, the approach achieves a better scalability.

If monitoring data under different fault conditions are available, several groups of feature vector samples can be extracted as a learning set.

In this paper, the proposed method first extracts the differences between groups of feature words and phrases contained in retweeted text and groups of feature words contained in the tweeting history of users believed to be interested in information from particular Twitter account holders, who are known as followers.

We divide every local feature SAE learnt according to three color channels and respectively carry out convolution point by point between them and the RGB components of d × d size images to get three number (d − n + 1) × (d − n + 1) size features after convolutions, and then, the global features can be obtained through adding three groups of feature images after multi-channel convolutions.

Five groups of SN, SP, and GM values corresponding to the five training sets are shown in Figure 9. Five groups of feature vectors are detailed Section 2. We used five training sets with different properties by LibD3C.

Five groups of SN, SP, and GM values corresponding to the five training sets are shown in Figure 9. Five groups of feature vectors are detailed Section 2. Experiment 4 We tested the imbalanced testing dataset with model1, model2, model3, model4, and model5 in this order.

Next, we make use of the individual groups of features extracted from the ELEA dataset to analyze overall recognition performance of groups of features.

We can distinguish two main groups of features: frame-based and segment-based features.

Generally, three groups of features from nucleotide sequences are calculated to represent DNA in PyBioMed.

Our analysis identifies 4 groups of features which impact participation and long-term engagement.

Based on the literature, we created different groups of features that capture the characteristics of potential human trafficking activities.