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Compared to the existing approaches for fingerprint filtering, our method achieves a better performance, in both average error of estimation, and deviation of errors.
In Table 1, x ¯ E Open image in new window is the error mean and s E is the standard deviation of errors in k iteration.
The standard deviation of errors is (<2^{circ }) at 0.5 m and (<4^{circ }) at 3 m away from the robot.
From Table 1, we also can see the quantitative measures of accumulated errors: such as in frame 20, the maximum, mean and standard deviation of errors of KLLS are 0.114, 0.044, and 0.036; the maximum, mean and standard deviation of errors of KL are 0.227, 0.120, and 0.062.
Ogle (1952) found that the standard deviation of errors, for a task in which the depth of a briefly presented target was aligned with that of a reference, increased exponentially with the disparity of the two stimuli relative to fixation.
Smaller mean and standard deviation of errors indicated higher accuracy and precision, respectively.
Similar(52)
The mean, standard deviation of error percentage in spalling region extraction were 11%and7.1%1% respectively, while the variance was 25.
Comparison of the developed models was performed by statistical criteria, such as coefficient of determination (R2), root mean squared error (RMSE), standard deviation of error (STD) and mean absolute percent error (MAPE) coupled with desirability function.
The statistical tests showed that most of the measured target coordinates were considerably accurate in this study, with absolute mean of error 4.1 mm and absolute standard deviation of error ±4.5 mm.
Standard deviation of error of predictions.
The mean absolute error and the standard deviation of error are 0.42 and 0.54 cm, respectively.
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