Sentence examples for adopt a feature from inspiring English sources

In addition, most CNN features have barely contributed to effectively determine the exact location of the target, so we adopt a feature selection method to alleviate the redundancy.

The authors adopt a feature selection procedure based on the Kolmogorov-Smirnov test to select from the candidate features those that more informatively characterize the perceptual phenomenon.

The site is launching a new Adopt A Feature campaign, inviting users to create videos showing off some of its lesser-known features, like AudioSwap.

These are circumstances in which participants might be able to adopt a feature-based search strategy, and these results are therefore consistent with the idea that participants use salience to guide search even when better strategies are available to them (cf. Bacon & Egeth, 1994).

On New Year's Eve, Uber, a start-up in the city, adopted a feature it called "surge pricing," which increases the price of rides as more people request them.

Different from prior studies, he adopts a feature classification approach based on the fuzzy clustering analysis of TC tracks.

Twitter will now allow you to review Direct Messages received from people who you don't follow before responding to them in a consolidated inbox, adopting a feature that Facebook has long used for its own messaging feature and app.

They have instead adopted a feature that has been foreign to the United States since 1808: unamendability.

Therefore, our semantic relation system adopts a feature-based decision-making methodology described below to achieve the best labeling.

The work adopted a feature-knockout approach [ 23] to rank the efficiency of m = 34 physiochemical properties (PCPs) in the prediction of linear B-cell epitopes.

Specifically, we adopt a discriminative feature extraction with a further feature selection to extract discriminative feature components; an unsupervised quantization approach to offer promising privacy protection; and an LSSC encoding to achieve large entropy without having to sacrifice the actual classification performance accuracy of the discriminative feature components.