Sentence examples for representation features from inspiring English sources

VAEDC can extract representation features of the Pdeath contour with complicated urban geometry in the latent space, and DNN maps the variable space into the latent space for the Pdeath image data.

WR features: word representation features generated by Brown clustering [24], random indexing [25] and skip-gram [26].We followed the same method as in [31] to generate unsupervised word representation features using these three methods.

We observed that the whitespace tokenizer performs better than the BANNER simple tokenizer for extraction of word representation features.

The generally applicable word representation features were reported to boost system performance significantly for both chemical and biomedical NER.

For word representation features, we train Brown clustering models [28] and Word Vector (WV) models [17] on a large PubMed and PMC document collection.

The word representation features extracted from the unlabeled data boosted performance by a 1.37% and a 1.14% F-measure for CEM and CDI subtasks, respectively.

FR representation feature reservation matrix.

The proposed method includes extraction of the baseline and the word representation feature sets.

Table 2 Classification of warning representation Feature Type     Object classes Stationary Moving   Warning level High Medium Low Position Left Center Right.

As is generally known, the classification process is composed of three steps in pattern recognition (PR): feature representation, feature discriminant analysis, and classifier design.

The great speedup achieved by MOCC relies on the fast algorithms on scale representation, feature point localization, simplified feature descriptor, and group-based matching strategy.