Sentence examples for sample with features from inspiring English sources

On the other hand, Haddad et al. [19] included only MRIs done for ligament and cartilage problems, obtaining a sample with features that are potentially different from the general population; they also included a small mixed group (5%) in gender analysis, which was excluded from ethnic analysis.

Let D = [ X1, X2,…, X n ] represent the n training samples and X i = x 1 i, x 2 i, …, x 17 i, y i represent the i-th sample with features x(i ) and class label y i As PPIs are undirected by nature, and node centralities are features that pertain to nodes (proteins), special care must be taken to treat each interaction as an unordered pair.

Advanced imaging and characterization methods have permitted the 3-D and phase-specific reconstruction of dense and opaque samples with features that have a length scale on the order of tens of nanometers and comprised of materials with large X-ray mass absorption coefficients.

Of the 382 different features identified (29 being common), the FS-40 sample revealed the greatest number (280) of associated mass features, followed by the FS-6 sample, with 234 features (see figures 8 and 9 in online supplement); FS-14 (185), FS-11 (121) and FS-0 (139) showed fewer features.

Given a training set of N samples with feature vectors x k ∈ R n and output labels y k ∈ {-1, +1}, the SVM forms a linear discriminant boundary y(x) = sign[ W T Φ x)+ b] in the feature space with maximum distance between samples of the two considered classes, with w representing the weights for the data items in the feature space and b the bias term.

One CTCL-γδ patient sample with SPTCL features expressed both TCRαβ and TCRγδ.

Each sample with selected feature values is regarded as a data point.

For each feature, we counted all cells across the multiple fields of view of a given time point to get the number of cells in the sample with that feature (Figs 2 and 3).

The proposed HCPF uses Harris corners for the PF sample set which provides selective samples with strong features.

Indeed, the approach introduced here is very promising for the design of real magnetic nanocomposite samples with optimized features.

Additionally, small local motions between consecutive frames are estimated using block matching procedure in different directions, gathering interframe samples with similar features for efficient denoising.