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Figure 1 Grouping structure.
Figure 1 Grouping implementation.
Table 1 Grouping according to each morphological characteristic criterion of 13 ciliate species Open image in new window Notes for Table 1.
(1) Grouping the training set: this paper proposed the GVCA method to address two situations of over-scaled training set and too high dimension of eigenvector.
This assumption may not be perfect for a precise video packet importance, but is at least a much better one than the existing works, and good enough for our proposed cross-layer design to win. Figure 7 Frame population based N + 1 grouping of DVFI ( N = 5, i.e., 5 prioritized groups for P frames and 1 top-priority group for I frames).
For set size 3, for the condition in which all 3 arrows point in the same direction, only 1 grouping attempt needs to be made with 2 arrows being scanned; and for the condition in which 2 arrows point in the same direction, there will be 1 successful grouping out of an average of 3 attempts.
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(Iteration 1, Group Controller).
Fig. 1 Group control Fig. 2 Group 2 1 min Fig. 3 Group 3 3 min Fig. 4 Group 4 5 min.
The five sub-populations detected corresponded to group 1, group 2, group 5A, group 5B and group 6 (Figure 1).
Step 3: Grouping.
Since this study was completed, evidence for an interspecies HBoV-1/-2 recombinassociatedated with acute gastroenteritis has been obtained; the structural gene region was most closely related to HBoV-2, and NS1/NP-1 grouping with HBoV-1 (14 ).
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