Sentence examples for background distribution based on from inspiring English sources

Nonparametric background modeling methods have been used to estimate background distribution based on pixel values observed in the past.

The percentages at COs were compared to a background distribution based on random sampling in non-peri-centromeric regions.

We used two different types of randomisation for calculating the background distribution, based on (i) seed randomisation and (ii) expression randomisation.

An alternative strategy is to use the distribution of the database to define a background distribution, based on the following assumptions: first, that there are two distinct populations, namely, a small number of closely matched and a large number of non-matched samples; and second, that the distances of the non-matched samples are normally distributed.

The age, sex, and Hispanic background distributions based on the sampling weighted estimates are very similar to the census 2010 target population, with the differences less than 1.6% and in most cases less than 0.45%.

For the second constraint, the background illumination follows Gaussian distribution based on the white patch assumption: {p}_2(L =mathrm{N}left nabla Lleft|{L}_0,{deL}_0_5^2right.mathbf{1}right).

Homologue species distribution based on BLASTx results.

Recall that PVs are random draws from an individual-specific family of posterior distributions based on a comprehensive imputation model that contains both background data and test performance indicators.

The crux is, EM technique is considering foreground and background pixels based on random distribution of pixels' intensity level for making clusters.

Advantages of the algorithm over other approaches include (i) the enumerative-guaranteed optimality of seed selection; (ii) a background model based on empirical distribution of SMDs; and (iii) efficient data structures that make background and motif computations relatively fast at moderate seed lengths.

The background distributions were computed based on a set of 7,000 random sequences with lengths ranging from 400 to 1,600 nts in steps of 100 nts and G+C content varying between 20% and 80% in steps of 10% (see Gruber et al., 2010 for more details).