From 9f1de68f0a058689c5f2a1f09012f57099326796 Mon Sep 17 00:00:00 2001
From: Vasil Zlatanov <v@skozl.com>
Date: Mon, 19 Nov 2018 10:29:51 +0000
Subject: Change table reference to tab

---
 report/paper.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

(limited to 'report')

diff --git a/report/paper.md b/report/paper.md
index b2d9fbd..d887919 100755
--- a/report/paper.md
+++ b/report/paper.md
@@ -73,7 +73,7 @@ and eigenvectors of the matrices A\textsuperscript{T}A (NxN) and AA\textsuperscr
 (DxD)).
 
 The first ten biggest eigenvalues obtained with each method
-are shown in table \ref{fig:table_eigen}.
+are shown in table \ref{tab:eigen}.
 
 \begin{table}[ht]
 \centering
@@ -91,7 +91,7 @@ PCA &Fast PCA\\
 2.4396E+04 &2.4339E+04\\
 \end{tabular}
 \caption{Comparison of eigenvalues obtain with the two computation methods}
-\label{fig:table_eigen}
+\label{tab:eigen}
 \end{table}
 
 It can be proven that the eigenvalues obtained are mathematically the same,
@@ -387,5 +387,7 @@ the 3 features of the subspaces obtained are graphed.
 
 # Question 3, LDA Ensemble for Face Recognition, PCA-LDA Ensemble 
 
+
+
 # References
 
-- 
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