Sentence examples for definitions of features from inspiring English sources

The problem that will arise in a new era of functional annotations will be that of community standards most people have tended to agree what defines a CpG island, but definitions of features based on identifying unmethylated DNA are likely to be more contentious.

The system is based on the definition of features to be communicated to the controller.

CNNs can be applied to a raw speech signal in an end-to-end way (i.e. without manual definition of features).

Furthermore, the consideration of authorship allows the definition of features related to social influence and user roles, i.e., certain users might follow a specific behavior.

Consequently, it is obvious that there is a strong need for the definition of features which can distinguish different emotions which are arousally similar and valencely different (i.e., angry, fear or sad, bored).

This encoding was derived from the definition of features that are related to qualitative properties considered during manual editing.

First, dependencies can be a consequence of the hierarchical definition of features: luminance is a pixel property, contrast is its difference measure, edge density exploits gradient information and is thus related to contrast, and synergistic image segmentation incorporates edge information.

Evidence in bovids showed that the binding site for colchicine occurs in the β-tubulin protein [ 13, 19, 20]; purification and subsequent crystallography of the protein of bovine and porcine [ 21, 22] generated an experimental model where the identification, location, and definition of features of the colchicine binding site were possible [ 19, 23].

Since the linear combination of feature vector should approximate the optimal differential average cost, the definition of feature vector explicitly relates to the definition of cost function.

Consolidating two or more different biometric feature sets of the same user in order to form them as one feature set is a definition of feature- or representation-level fusion.

Its theoretical background includes: (a) a formal definition of feature-based models; (b) a graph-based and set-based definition of meta-programming concepts; (c) transformation rules to support the model mapping; (d) a computational Abstract State Machine model to define the processes and design tool for developing GLOs.