Exact(2)
We employed the same metric, ZSI (Zijdenbos similarity index) [16], as used in [8] to test the accuracy of the rough segmentation results in different color spaces.
In Table 1, we can find that the ZSI for our method has a mean larger than 0.89 and standard deviation smaller than 0.06, which indicates that the accuracy of the rough segmentation results in the IF1F2 color space is higher than that in the other two color spaces.
Similar(56)
The accuracies of the rough set method and maximum likelihood classification were compared, yielding overall accuracies of 94.15% and 93.88%, respectively.
Within the accuracy of these rough assumptions, this alignment places the Hsc70 PBD near the three-fold axis, in the vicinity of the clathrin C-termini (Supplementary Figure S4).
Simulation environments are designed to mimic real-world systems with sufficient accuracy to provide the rough equivalence of hands-on experience [ 25, 26].
The accuracy of rough rhythm classification as ventricular, supraventricular, or oversensing was 97.2%.
Approximation accuracy is employed to depict accuracy of a rough classification [1] according to different dynamic parking scenarios.
The idea was to make shots out of the rough more difficult and put more of a premium on driving accuracy.
Extensive numerical validation attests to the accuracy of the new methods on academic and more realistic problems with rough coefficients.
Out of the Rough?
The initial centers for the rough k-means are computed based on the rough set, which can reduce the time complexity of the rough k-means clustering.
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