Sentence examples for feature to generate a from inspiring English sources

But it's taken an art selfie feature to generate a bit of viral interest in the app — with a steady stream of delighted/outraged tweets bubbling up over the weekend as users assessed the results of their fine art doppelgänger.

Here, we use this feature to generate a number of alternative topologies for a given protein sequence.

For the first step of patient feature discretization, we applied Hierarchical Agglomerative Clustering method to each numerical feature to generate a set of fuzzy sets.

The knowledge from the systematic levels, such as the molecular, cellular, individual, and network levels, represents multiple evidence features to generate a general assumption based on systems pharmacology.

Using these data, we first explored the wasp genome for nonannotated transcribed features to generate a more complete transcriptome.

Particularly, our study focuses on how to reasonably extract the syndrome features to generate a reduced feature set for feature selection and infer the causal relationships among these two-layer features.

A freely available and open-source software package tracks footprints and body features to generate a comprehensive description of many locomotion features, including static parameters such as footprint position and stance patterns and dynamic parameters, such as step and swing cycle duration, and inter-leg coordination.

Clinical prediction rules utilising key clinical features to generate a diagnostic or prognostic score are increasingly used to risk stratify patients in a wide variety of clinical situations, particularly those in which diagnostic decisions are complicated, and in some areas have had a major impact on clinical service delivery.

These GMS can be treated as not only a preprocess of GMS filter-based classifiers but also a unique feature extractor to generate a particular feature subspaces for each different class presented in high-dimensional data.

The multi-lobe differential filters have been applied for iris feature extraction to generate a 128-byte ordinal code for each iris image.

Next, is to combine these feature subsets using feature-class and feature-feature mutual information to generate an optimal feature subset, say F which contains only non-redundant, yet relevant features.