Sentence examples for applied to the feature from inspiring English sources

The phrase "applied to the feature" is correct and usable in written English.
It can be used when discussing how a certain method, technique, or concept is relevant or relevantly utilized in relation to a specific feature.
Example: "The new algorithm is applied to the feature to enhance its performance and efficiency."
Alternatives: "utilized for the feature" or "implemented in the feature".

Exact(10)

A Linear Discriminate Analysis (LDA) was also applied to the feature space to reduce feature dimensions to 40.

Two groups of Zernike moments have been extracted from the preprocessed images and applied to the feature selection stage.

And local transformations such as translation, rotation, and scaling in images have been applied to the feature learning algorithms in order to obtain transformation-invariant representations [18].

This combination enumeration is applied to the feature vector itself in approach 1 and to the structure in approach 2. The feature vector must be based on a binary fingerprint where a set bit represents the presence of a feature.

In order to find the frequency scale appropriate for accurate speaker identification, a mel-cepstral estimation technique using a second-order all-pass warping function is applied to the feature extractor; the frequency warping parameters and the text-independent speaker model parameters are jointly optimized based on a minimum classification error (MCE) criterion.

Set operations, like union, intersection, or majority voting, can be applied to the feature selection process.

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Similar(50)

This formula could be applied to the features, whose value is a set of expressions.

In the detector, a fixed threshold is applied to the features to make a decision on the presence of speech.

In a second stage, a detection scheme is applied to the features resulting in the final decision.

These are compared to the hard-decision tree classifier of Fig. 1 a and [1], applied to the features described in the present paper.

The first layer of the proposed DL-ELM is based on a set of SBELM subnetworks which are separately applied to the features on the input layer.

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