Sentence examples for for automatically defining from inspiring English sources
New scene modes such as high-contrast B&W mode and miniaturize mode have been added to stimulate shooting creativity, and various CX1 model functions have received enhancements, such as the addition of face recognition to easy shooting mode and the addition of an auto option for automatically defining the range expansion effect in dynamic range double shot mode.
Nevertheless, given a set of training data for a specific gene, use of the SVM is possible for automatically defining whether a random short sequence fits the gene model and subsequently classifying it as a viral or bacterial origin.
The efficiency is achieved by (1) automatically defining an initial contour for each slice, and (2) automatically computing weight values of each term in the applied energy functional at each iteration during evolution.
The initial conditions required for active contours are automatically defined from the histogram intensity of the image.
Several options could be used to automatically define neighbors for every cell in the scenario.
In contrast to 2D-fingerprints for which distance bins are automatically defined by the topological distance counted in number of bonds through the shortest path, 3D-fingerprints require a binning principle for the through-space distance to assign atom pairs to distance bins.
modelMaGe automatically defines the parameter estimation task for all generated candidate models.
MS parameters were automatically defined using Waters IntelliStart software for the tuning and calibration of the TQD and subsequently manually optimized for all analytes.
Atlas-guided training is a valid and reliable strategy to automatically define a representative training dataset for the segmentation of subcortical structures with supervised methods.
Threshold cycle (Ct) for each miRNA was extracted by setting a threshold and automatically defined baseline.
To assess the quality of the automatically defined protein families we assigned keywords to each protein for domains, families and repeats according to its predicted Pfam keywords.
