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| -rwxr-xr-x | report/paper.md | 4 |
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diff --git a/report/paper.md b/report/paper.md index faa0188..6c5ff9b 100755 --- a/report/paper.md +++ b/report/paper.md @@ -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} |