Sentence examples for different kinds of features from inspiring English sources
Each group to consider the following variables (written on the board or copied into a handout for easier student access): FEATURES -What different kinds of features should the Web site provide for those interested in listening to, discussing, composing, sharing, performing and dancing to music?
We'll have more investigative reporting, and different kinds of features, and maybe a fresher, sharper, bolder look--not only in terms of graphics but also in terms of style and content".
Experiments conducted on two large scale benchmark datasets verify the effectiveness of these two different kinds of features.
Appcelerator also has a massive marketplace of add-ons that enterprise customers can tap into to add different kinds of features and APIs in their apps.
This figure represents and compares the results for different kinds of features: temporal features and frequency features and using different types of sensors.
We also make a comparison on the performance of different kinds of features, more specifically, temporal features and frequency features as described in "Feature extraction".
Then, to different kinds of feature vectors, we use different convolution layers to predict their corresponding high-frequency details. Figure 2 gives an intuitional description to this process.
Figure 6 also shows that there exists intersections which can achieve high detection rate for different kinds of feature extraction methods.
In recent years, abundant research has been conducted, and different kinds of feature extraction and classification methods have been introduced to classify steel strip surface defect.
We can conclude here that different kinds of feature selection and method-level metrics do not have a considerable effect on the performance of the algorithm, and the most important factor here is the type of algorithm itself; therefore, it is better to improve the algorithms to get better prediction results.
Different kinds of feature descriptors based on PseAAC prove to be powerful and become popular in protein feature extraction.
