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In Fig. 10 b, we compare the estimation performance of the estimates of total 625×8=5000 pixels with the true gauge adjusted radar rainfall depths.
In Fig. 10 a, we compare the estimation performance of the estimates of the 625 pixels over eight snapshots, i.e., a total of 625×8=5000 pixels with the true gauge adjusted radar rainfall depths.
However, there has been little examination of the performance of the estimates of the temporal orderings.
In figure 5 C, the performance of the estimates regarding the β parameter of the distribution of effects is shown.
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The performance of the estimated HRTFs was evaluated by objective and subjective ways.
The generated results indicated a good performance of the estimated response surface revealing the strength correlations between the parameters.
For background initialization, including the evaluation of foreground masks, we can also evaluate the performance of the estimated background.
In addition, a rolling forecast study is carried out to assess the forecasting performance of the estimated models.
To evaluate the performance of the estimated state variables, we need a monitoring signal (i.e. the true position and orientation data for the target object) for comparison.
In order to further evaluate the performance of the estimated inner lips parameters, French CS recognition based on 13 vowels is carried out using a HMM-GMM recognizer.
Cross validation [18], based on the performance of the estimated network into a test data set, is one of the most widely used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com