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Scoring of answers is based on a zero to three scale, and a score of three reflects the negative extreme on the Likert Scale.
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The three scales and approaches produced consistent results.
These results also indicate that Gabor features with three scales and eight orientations perform better than those with five scales and eight orientations.
The results also clearly show that the Gabor features with three scales and eight orientations outperform those with five scales and eight orientations.
The image is decomposed into three scales and four orientations using the steerable pyramid technology.
The real part of Gabor filters with three scales and eight orientations is shown in Figure 2. Figure 2 The real part of the Gabor filters with three scales and eight orientations.
Figure 3 shows an example of effective Gabor filters of a face image with three scales and eight orientations.
In our experiments, we use a bank of filters tuned to the combination of three scales and four orientations.
Figure 3 Example of the effective Gabor filter of a face image with three scales and eight orientations.
As shown in Fig. 8 shown, the reconstructed F0 with eight scales in each temporal level is more similar to the original contours then three scales and five scales.
Results show that the top ten percent of the selected Gabor features with three scales and eight orientations achieve the highest recognition rate of 96.67%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com