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| -rw-r--r--[-rwxr-xr-x] | report/fig/bagging.pdf | bin | 14941 -> 15360 bytes | |||
| -rw-r--r--[-rwxr-xr-x] | report/fig/ensemble-cm.pdf | bin | 12553 -> 12995 bytes | |||
| -rw-r--r--[-rwxr-xr-x] | report/fig/random-ensemble.pdf | bin | 14609 -> 15037 bytes | |||
| -rwxr-xr-x | report/paper.md | 6 |
4 files changed, 3 insertions, 3 deletions
diff --git a/report/fig/bagging.pdf b/report/fig/bagging.pdf Binary files differindex 36c0c6a..3700851 100755..100644 --- a/report/fig/bagging.pdf +++ b/report/fig/bagging.pdf diff --git a/report/fig/ensemble-cm.pdf b/report/fig/ensemble-cm.pdf Binary files differindex f7f8659..f79b924 100755..100644 --- a/report/fig/ensemble-cm.pdf +++ b/report/fig/ensemble-cm.pdf diff --git a/report/fig/random-ensemble.pdf b/report/fig/random-ensemble.pdf Binary files differindex 9b8b1ab..6123af1 100755..100644 --- a/report/fig/random-ensemble.pdf +++ b/report/fig/random-ensemble.pdf diff --git a/report/paper.md b/report/paper.md index f6d90b5..428c5c8 100755 --- a/report/paper.md +++ b/report/paper.md @@ -414,7 +414,7 @@ The optimal number of constant and random eigenvectors to use is therefore an in \begin{figure} \begin{center} -\includegraphics[width=23em]{fig/vaskplot3.pdf} +\includegraphics[width=19em]{fig/vaskplot3.pdf} \caption{Recognition accuracy varying M and Randomness Parameter} \label{fig:opti-rand} \end{center} @@ -427,7 +427,7 @@ The red peaks on the 3d-plot represent the proportion of randomised eigenvectors \begin{figure} \begin{center} -\includegraphics[width=19em]{fig/nunzplot1.pdf} +\includegraphics[width=17em]{fig/nunzplot1.pdf} \caption{Optimal randomness ratio} \label{fig:opt-2d} \end{center} @@ -438,7 +438,7 @@ The red peaks on the 3d-plot represent the proportion of randomised eigenvectors \begin{figure} \begin{center} -\includegraphics[width=19em]{fig/ensemble-cm.pdf} +\includegraphics[width=17em]{fig/ensemble-cm.pdf} \caption{Ensemble confusion matrix (pre-comittee)} \label{fig:ens-cm} \end{center} |