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Exact(9)
The set with the lowest classification error was chosen.
The image pair with the smallest error was chosen to be compared with other approaches.
For RBFs, the target training mean squared error was chosen equal to 10−30.
Else, the set Sn−2 with lowest classification error was chosen, and the process was repeated until the classification error did not drop further.
So at each dose, the type I error was chosen to be 0.0253 and the type II error was 0.106.
The 20% 'benchmark' value for the relative error was chosen arbitrarily for ease of discussion, whereas results for other values are shown in the figures.
Similar(51)
The wavelet basis with minimum reconstruction error is chosen.
Mean absolute error, standard deviation, and maximum error were chosen as measures for comparing accuracy.
The dictionary and mapping pair which gives the least sparse representation error is chosen for the HR patch estimation.
The magnitude of each error is chosen from a Gaussian population with zero mean and fixed variance.
We also address the issue of initialization by matching the first frame to six key poses acquired by clustering and the pose having minimal matching error is chosen as the initial pose.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com