Sentence examples for resultant features from inspiring English sources

Resultant features were compared using Raman, XPS, optical profilometry and SEM.

The DWT features were reduced using PCA, ICA, andLDA, and the resultant features were used to classify normal andepilepsy EEG signals using SVM classifier [51].

The resultant features thus provide comprehensive framework for building discriminative pattern classification models for the data sets with highly overlapping class boundaries.

Then, the output coding transformation formulated via a set of linear SVMs projects the sequences of high dimensional vectors into a tractable low-dimensional feature space where the resultant features are well-separated continuous output codes for the subsequent multi-class classification problem.

We evaluated our system by using the resultant features for automatic pattern annotation and clustering.

The resultant feature heights spanned 0 2 μm.

The best resultant feature is determined and added to the feature set and another new feature is determined with the same rule.

The MFCC feature vector is computed by invoking RASTAMAT "melfcc" function with 'numcep' parameter set to 20, dropping the first (energy) component of the output, and appending first- and second-order derivatives of the resultant feature vector.

Specifically, in each layer, DrELM integrates a random projection of the predictions obtained by ELM into the original feature, and then applies kernel functions to generate the resultant feature.

Trial averages revealed readiness potentials at 200 ms after stimulus and speech related potentials peaking after 350 ms. Spatial filters optimized for task discrimination were designed using the common spatial patterns method, and the resultant feature vectors were classified using a nonlinear support vector machine.

The resultant feature space is the projection of the original data set over the covariance matrix eigenvectors, which constitutes the weights of each feature on the input space according to how much of the model's variability is explained by them.