Sentence examples for features assigned to from inspiring English sources

The features assigned to each class (mathcal {C}_{k}) are stored in an initial feature matrix (boldsymbol {S}^{0}_{jk}).

First, we compute the coordinate distribution entropy for each cluster using the coordinate information of local features assigned to the clusters.

On these bases, we use all the features assigned to a cluster to obtain their mean value which represents their geometric center.

We use the 4-dimensional spatial information of the local feature to compute our SDE to describe the spatial distribution of all the local features assigned to each cluster and provide a discriminative VLAD descriptor.

Some of the spectral features assigned to the inorganic components overlap with the absorption bands of polysaccharide materials (broad absorption between 3500 and 3000 cm−1, absorptions around 1620 and 1100 cm−1) and the absorption around 1558 cm−1 might be interpreted as the amide II band of a protein material [64].

The identified activation of features assigned to IGF-, PDGF-, TGF beta- and integrin-pathways in fibrotic tissue is in line with data from various groups [ 21- 23].

One can see that the feature assigned to LO phonons localized in InAs/AlAs QDs shifts from 255 to 242 cm−1 with decrease in the excitation wavelength from 676.4 to 457.9 nm (from 1.83 to 2.71 eV) while the frequency position of TO optical phonons from GaAs (268 cm−1) remains unchanged.

The calculation process is shown as follows, where x j is the local feature assigned to μ i according to their Euclidean distance, and i n is the number of local descriptors belonging to the ith cluster: {V}_i=sum limits_{j=1}^{i_n}{x}_j-{mu}_i.

Our alignment analyses revealed that most NLRs display this highly conserved proline residue (with the exception of NAIP (T) and NALP 11 (A)), but lack the conserved glycine residue (Figure 1), suggesting a key feature assigned to the proline among NLRs.

Vector λ corresponds to the feature weights assigned to the set of features, and is learnt from data to decide which features may be more important in predicting TFBSs.

As clouds incorporate, corporations take on features previously assigned to people.