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| -rwxr-xr-x | report/paper.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/report/paper.md b/report/paper.md index bd7ef71..32db134 100755 --- a/report/paper.md +++ b/report/paper.md @@ -42,8 +42,8 @@ figure \ref{fig:mean_face}. \end{center} \end{figure} -To perform face recognition best M eigenvectors associated with the -largest eigenvalues are chosen. We found that the opimal value for M +To perform face recognition the best M eigenvectors associated with the +largest eigenvalues (carrying the largest data variance, fig. \ref{fig:eigvariance}) are chosen. We found that the opimal value for M when when performing PCA is $M=99$ with an accuracy of 57%. For larger M the accuracy plateaus. |