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One can see that distribution of three visemes correspond correctly [18] to the ground truth distribution in Fig. 6b.
In addition, the inaccuracy caused by the adopted method does not change the ground truth distribution type of collaborators per author and that of papers per author [44].
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The XCAT software [13] was used to create the ground truth activity distribution, the attenuation distribution and the high-resolution anatomical images to be used for this study.
This approach yields a result reasonably close to that obtained by sampling strictly according to the ground truth posterior distribution.
For validation, we calculate the correlation between the fractional abundances of the optimal endmembers induced by both, the WM-MOGA and the N-FINDR, and the available ground truth class spatial distribution.
The WM-MOGA compares well to a recent state-of-the-art endmember induction heuristic [22] in terms of the correlation of the induced abundance images with the given ground truth class spatial distribution.
Suppose that Algorithm 2 is used to iteratively detect SCAs and estimate truth converging null distribution.
Then an unbiased truth converging null distribution can be obtained together with a theoretical FPR α. Figure 2 shows the flowchart describing the entire SAIC algorithm.
If 'yes', continue; if "no", stop and re-calculate the P-values for all SCAs using truth converging null distribution; (3) Mask the CNA units associated with newly detected SCAs as zeros and let X = X - SCAs, then go to step (1).
a Ground-truth of the distribution.
We compute the correlation coefficient between each abundance image and each binary image corresponding to a ground-truth class spatial distribution.
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