Sentence examples for between the model functions from inspiring English sources

Then, we obtain the similarity between the model functions of different images to calculate the similarity between the images.

Therefore, in this method, the number of similar points in two different images does not play an important role in similarity results between two different images because the similarity between the model function of different images is determined for matching and recognition.

After fitting, the difference between the experimental correlation curve and the model function (residuals) are displayed to identify systematic deviations along the τ-axis, which in turn indicate a wrong parameter set or model.

Tikhonov regularization parameter here is the trade-off between the model objective function and data objective function (also named data misfit).

Adequate sorting of the priorities between the introduction of various model functions and improvement in various resolutions is an important task assigned to researchers.

Finally, Equation (19) is used to calculate the similarity between model function of different images obtained by Equation (18).

Note that this modification of the objective function has no direct effect on the calculation of the distribution functions since the modification never changes the relationship between the model and the distribution function in the objective function.

As it can be seen in Table 2, the relative entropies between the model-generated mixed density functions and density functions estimated from experimental data were reduced significantly, particularly for Model M1.

The details about the relationship between the model A1 A4 and Yates' standard interference functions were discussed in[3] and further investigated in[48].

In this article, we first explain the concepts of the GMM and our method of estimating parameters; concomitantly, we introduce three energy functions between the models, as well as methods for optimization.

For a binary outcome, the standardised total gain statistic in Equation 3 uses the mean absolute deviation (i.e. an average L-norm function) between the model-based predicted risk probabilities (π| Z) and the average risk π0 to provide a measure of predictive ability.