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The characteristics of the dataset are shown in Table 6.
Some samples from this dataset are shown in Figure 1.
Experimental results for HumanEva dataset are shown in Table 4.
Various results for the MSRC-9 dataset are shown in Table 4.
The computation times for this dataset are shown in Fig. 6a.
The final weights and alpha score of modified dataset are shown in Tables 11 and 12.
Test results on the "25conf" dataset are shown in Table 5.
Some samples in the CK+ dataset are shown in Fig. 1.
The results obtained for the entire dataset are shown in Table 5.
The results of this method applied to our full dataset are shown in Fig. 13.
The quantitative comparisons on the NLPR dataset are shown in Figs. 11 and 12.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com