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Following, corresponding shifting functions ∆x and ∆y were estimated for each scene.
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The direction model is made up of the whole mixture distribution as estimated for each of the scene's blocks.
These where estimated for each trajectory.
Over release years, we find striking linear increases in the Whittle estimates for scene durations and motion, and a decrease for sound amplitude, with all three of these measures converging towards a true fractal.
For each subject, peak parameter estimates were extracted within each mask for each scene condition and object baselines.
As shown in the figure, there are several sub-cases for each scene.
The d v E (estimated 95 percentile disparities, see Section 3.3) scores of the CGO algorithm on the whole set of video data (12 scenes resulting in 9,963 frames) are plotted in Figure 6 together with the number of subjects reporting eye strain for each scene.
The only décor are the props for each scene.
Since each scene has different SI (TI) complexity class, the minimum QP value for each scene may also be different.
The original and predicted saliency depth values for each scene are derived through self-information of all the labelled superpixels in each scene.
The results for each scene are shown on Table 6 for completeness.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com