Sentence examples for feature generation from inspiring English sources

Markovitch and Rosenstein [12] proposed a general framework for feature generation based on a machine-learning perspective.

First, linguistic features are generated in the feature generation phase.

Feature generation : after image pre-processing, we generate features that represent different gene expression patterns in images.

For feature generation, two different descriptors are proposed to generate signature traits.

We show how AFs generalize or improve previous approaches used in feature generation.

From a machine-learning perspective, most feature generation frameworks use a wrapper approach to evaluate generated features on the training set.

Feature generation module includes the following stages.

Figure 1 shows a detailed setup for the feature generation stage from a midi file.

More importantly, feature generation replaces manual feature design by a systematic search process.

Probably the first audio feature generation system was one proposed by Pachet and Zils [21].

After the feature generation step, the list of features can be mapped to a vectorial format.