Figure 9
A close-up of Fig. 8 to observe subsampling ratios smaller than 10%. We see that, for many of the datasets, CURISS performs exceptionally well even for very small subsampling ratios. The best possible accuracy is approximately attained at ratios as small as 2%, and consistently attained for 6% subsampling. RISS is comparable in performance, except for the smallest subsampling ratios. Both methods outperform random raster sampling considerably. |