aboutsummaryrefslogtreecommitdiff
path: root/report
diff options
context:
space:
mode:
authorVasil Zlatanov <v@skozl.com>2019-02-14 17:06:31 +0000
committerVasil Zlatanov <v@skozl.com>2019-02-14 17:06:31 +0000
commitddb42abe861dc88215f28fc5ec7528b906f250b1 (patch)
treeeaed7485d1317024a6193162d7ea94a319b21e8d /report
parent3c5784b1fcd2321ab598b04757943a4b8be11e9c (diff)
downloade4-vision-ddb42abe861dc88215f28fc5ec7528b906f250b1.tar.gz
e4-vision-ddb42abe861dc88215f28fc5ec7528b906f250b1.tar.bz2
e4-vision-ddb42abe861dc88215f28fc5ec7528b906f250b1.zip
Move references before Appendix
Diffstat (limited to 'report')
-rw-r--r--report/paper.md9
1 files changed, 5 insertions, 4 deletions
diff --git a/report/paper.md b/report/paper.md
index 57cbf23..4d9afdf 100644
--- a/report/paper.md
+++ b/report/paper.md
@@ -152,6 +152,11 @@ For the Caltech_101 dataset, a RF codebook seems to be the most suitable method
The `water_lilly` is the most misclassified class, both in k-means and RF codebook (refer to figures \ref{fig:km_cm} and \ref{fig:p3_cm}). This indicates that the features obtained from the class do not provide for very discriminative splits, resulting in the prioritsation of other features in the first nodes of the decision trees.
+
+# References
+
+<div id="refs"></div>
+
\newpage
# Appendix
@@ -183,7 +188,3 @@ The Appendix section includes additional pictures to support some of the points
\label{fig:p3_succ}
\end{center}
\end{figure}
-
-# References
-
-