The phrase "attribute of feature" is not standard in written English and may cause confusion.
It could be used in contexts discussing characteristics or qualities of a specific feature, but it is better to clarify the relationship between the two terms.
Example: "The attribute of feature that distinguishes it from others is its unique color."
Alternatives: "characteristic of feature" or "quality of feature".
The Web-based system has been integrated with a distributed feature-based design system, and the latter can generate design models and re-represent them in an XML representation based on VRML and attributes of features to provide the input of the former.
The Web-based service has been integrated with a distributed feature-based design system, and the latter can generate design models and re-represent them in an XML representation based on VRML and attributes of features to provide the input of the former.
Qualitative attributes/properties: this category includes attributes of features that can only be described qualitatively using an ordinal scale, i.e., a set of qualifier tags like low, medium, and high for usability, security, or camera resolution, among others.
In this survey, five important attributes of features of the screening tests were identified through review of the literature, consultation with clinical specialists and patient focus groups.
The stages in pattern recognition involve measurement of the object to identify distinguishing attributes, extraction of features for the defining attributes, and assignment of the object to a class based on these features.
Stages in pattern recognition may involve measurement of the object to identify distinguishing attributes, extraction of features for the defining attributes, and comparison with known patterns to determine a match or mismatch.
The "input features" and SQL "expressions" were parametrized and customized according to the attributes of the feature layers in the tool.
All of the features were binary, in the sense that a phoneme either had, or did not have, the phonetic attributes of the feature.
The original SVM-RFE algorithm trains an SVM on a training set, and the components (attributes) of the feature vector x which have smallest weights are discarded [ 39].
Entire residual profiles, as well as distinct subsets of their full complement of EC score components, were employed as the attributes of mutant feature vectors for structure-based models.
