Sentence examples for used for feature reduction from inspiring English sources

Figure 1 Auto-associative neural networks scheme used for feature reduction.

To accomplish this and to find the optimal subset of descriptors that describes the relationship between the structure and the property/activity data, several statistical and data-mining methods are commonly used for feature reduction and selection [15, 16].

It clarifies the steps of the H2P procedure, which was used for feature reduction and supervised classification of the proteomic samples, as well as for comparison with the unsupervised H2P variants explained at the end of this paragraph.

Most commonly, the reduced feature vector consists of statistical summary measures (such as mean, energy, standard deviation, kurtosis, and entropy) of different sets of original (unreduced) features, although other methods such as principal component analysis, discriminant analysis, and independent component analysis have also been used for feature reduction [ 4, 7, 10, 11].

PCA was used for feature space reduction.

This method is used for feature extraction and dimension reduction.

Audio features used for feature extraction.

This average was used for feature.

In average, using CA-FR for feature reduction resulted in an accuracy of 88.4% compared to 84.2% using PCA, i.e., an improvement of 4.2%.

Then, the eigenspace technique was used for motion feature reduction and fed into individual neural network for each activity.

El-dahshan et al.[18] presented techniques for feature reduction using principal component analysis (PCA) of the features extracted using DWT.