Sentence examples for feature level from inspiring English sources

Manual Transcription of Conversational Speech at the Articulatory Feature Level.

A semi-quantitative three point scale was developed, with a score of 0 representing the lowest feature level and a score of 2 representing the highest feature level.

The obtained performances confirm that feature level fusion achieves an often better classification accuracy.

And then design a distance-based separability weighting strategy to conduct feature level fusion.

In this article, we present a model-driven approach for managing SPL evolution on feature level.

However, many research studies only concern sentiment polarity in the product feature level.

The preliminary planning deals with sequencing at the form-feature level.

Then features are normalized and sent into neural network for feature-level fusion.

The relational measure is based on a feature-level convolution operation defined in this paper.

We develop a feature-level fusion strategy with three fusion options.

In this paper, we propose a new feature-level self-representation framework for unsupervised feature selection.