Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
We tested our method with Borkar's dataset with video sequences containing different conditions and presented the results in Table 2. Our method provides similar results with existing methods, performing better for urban dataset which is more critical in terms of aggressiveness detection.
Similar(59)
From the variability viewpoint, LoessOnly methods performed better than PMOnly, although combined PMLoess methods exhibited best performance overall.
Results show that the combined methods perform better than the single FEC and MC methods.
The variable step methods perform better.
Table 2 shows that all local transfer learning methods perform better than non-transfer method MARS.
The patch-based denoising methods perform better than pixel-wise methods.
Sometimes other methods perform better for statistical reasons (theoretically shown in Section 11.4 of [41]).
It was found that integrated methods performed better than just BDS.
However, denoising methods perform better than basic filtering such as median filter.
These results are consistent with the ones reported in [116] where the multiresolution methods perform better than other methods.
Our proposed methods performed better than both the Kernel Density Estimation method and the TV MPLE method.
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