Sentence examples for the assumption that the intensity from inspiring English sources

The application of GMM relies on the assumption that the intensity value at each voxel in an observed image is sampled from a Gaussian mixture distribution.

In these models, the assumption of equal expected value and the variance E[ y i |μ i ] = Var y i |μ i ) = μ i, was replaced by the assumption that the intensity parameter μ i is Gamma distributed, so that: μ i ~ Γ(α i,δ).

The magnitude is estimated based on the assumption that the intensities of several bright pixels in different depth ranges should be similar.

The first aim is to normalize fluorescence intensities within a well, with the assumption that the intensities measured in the temperature control wells correspond to ambient [O2] at all times.

In general, quantitative measurement techniques are used when modelling tissue contrast agent concentration although some workers model signal intensity, making the assumption that signal intensity changes are proportion to contrast agent concentration changes (Brix et al, 1991; Buckley et al, 1994; Hoffmann et al, 1995).

Therefore, we could sample the observed intensity values for each reflection multiple times (multiplicity value = 34), and we made the assumption that the strongest intensity roughly approximated the complete intensity.

Here, we make the assumption that the rainfall intensity is constant within any pixel.

Most of them are based on the classical and well-established algorithms analyzed in [2], which usually have an initial premise for their correct operation, the assumption that the illumination intensity is constant along the analyzed sequence.

The data were normalised using a quantile normalisation, making the assumption that the overall intensity distributions of the arrays should be comparable (Bolstad, 2001; Bolstad et al., 2003).

This analysis was used based on the assumption that the fluorescence intensity of each labeled cell was similar on average in each fish as verified by flow cytometry.

We also calculated the ER per 10-μg/m increase of each air pollutant when we assumed the influenza intensity to be its mean level of 10%, and the change in ER for each air pollutant associated hospitalization or mortality (a measure for the modifying effect of influenza) from the interaction model, under the assumption that the influenza intensity increased from 0%to10%0%to10%