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authorVasil Zlatanov <v@skozl.com>2018-11-20 19:48:17 +0000
committerVasil Zlatanov <v@skozl.com>2018-11-20 19:48:17 +0000
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Merge branch 'master' of skozl.com:e4-pattern
-rwxr-xr-xreport/paper.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/report/paper.md b/report/paper.md
index faa0188..6c5ff9b 100755
--- a/report/paper.md
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@@ -279,10 +279,10 @@ after each step.
Varying the values of $M_{\textrm{pca}}$ and $M_{\textrm{lda}}$ we obtain the average recognition accuracies
reported in figure \ref{fig:ldapca_acc}. Peak accuracy of 93% can be observed for $M_{\textrm{pca}}=115$, $M_{\textrm{lda}}=41$;
-howeverer accuracies above 90% can be observed for $130 > M_{\textrm{pca}} 90$ and $50 > M_{\textrm{lda}} > 30$ values between 30 and 50.
+howeverer accuracies above 90% can be observed for $130 > M_{\textrm{pca}} > 90$ and $50 > M_{\textrm{lda}} > 30$.
Recognition accuracy is significantly higher than PCA, and the run time is roughly the same,
-vaying between 0.11s(low $M_{\textrm{pca}}$) and 0.19s(high $M_{\textrm{pca}}$). Execution times
+vaying between 0.11s (low $M_{\textrm{pca}}$) and 0.19s (high $M_{\textrm{pca}}$). Execution times
are displayed in table \ref{tab:time}.
\begin{figure}