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| author | Vasil Zlatanov <v@skozl.com> | 2019-02-12 18:08:49 +0000 |
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| committer | Vasil Zlatanov <v@skozl.com> | 2019-02-12 18:08:49 +0000 |
| commit | 0f1da531317cfab7479fef0fed0166387f0fa13e (patch) | |
| tree | 2f3016e811a824282b60f493378b3ba78a63c5db /report | |
| parent | b235059fd844b59d4cd22104af12f42c2ac0deb2 (diff) | |
| download | e4-vision-0f1da531317cfab7479fef0fed0166387f0fa13e.tar.gz e4-vision-0f1da531317cfab7479fef0fed0166387f0fa13e.tar.bz2 e4-vision-0f1da531317cfab7479fef0fed0166387f0fa13e.zip | |
Remove bold around 3 second
Diffstat (limited to 'report')
| -rw-r--r-- | report/paper.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/report/paper.md b/report/paper.md index 25531e2..fbac659 100644 --- a/report/paper.md +++ b/report/paper.md @@ -66,7 +66,7 @@ Changing the randomness parameter had no significant effect on execution time. T In figure \ref{fig:2pt} it is possible to notice an improvement in recognition accuracy by 1%, with the two pixels test, achieving better results than the axis-aligned counterpart. The two-pixels -test however brings a slight deacrease in time performance which has been measured to be on **average 3 seconds** +test however brings a slight deacrease in time performance which has been measured to be on average 3 seconds more. This is due to the complexity added by the two-pixels test, since it adds one dimension to the computation. \begin{figure}[H] |