From 4fd68e20c8aba969438c5ce395226bd8c66e2721 Mon Sep 17 00:00:00 2001
From: nunzip <np.scarh@gmail.com>
Date: Tue, 20 Nov 2018 19:04:07 +0000
Subject: Chop 1

---
 report/paper.md | 15 +++++++--------
 1 file changed, 7 insertions(+), 8 deletions(-)

diff --git a/report/paper.md b/report/paper.md
index 5c145c2..f1bca34 100755
--- a/report/paper.md
+++ b/report/paper.md
@@ -114,9 +114,8 @@ The analysed classification methods used for face recognition are Nearest Neighb
 alternative method utilising reconstruction error. 
 
 Nearest Neighbor projects the test data onto the generated subspace and finds the closest 
-training sample to the projected test image, assigning the same class as that of the nearest neighbor.
-
-Recognition accuracy of NN classification can be observed in figure \ref{fig:accuracy}.
+training sample to the projected test image, assigning the same class as that of the nearest neighbor. Recognition accuracy 
+of NN classification can be observed in figure \ref{fig:accuracy}.
 
 A confusion matrix showing success and failure cases for Nearest Neighbor classification when using PCA can be observed in figure \ref{fig:cm}:
 
@@ -184,7 +183,7 @@ memory associated with storing the different eigenvectors is deallocated, the to
 \end{center}
 \end{figure}
 
-A confusion matrix showing success and failure cases for alternative method classification
+A confusion matrix showing success and failure cases for alternative method
 can be observed in figure \ref{fig:cm-alt}.
 
 \begin{figure}
@@ -291,7 +290,7 @@ are displayed in table \ref{tab:time}.
 \begin{figure}
 \begin{center}
 \includegraphics[width=17em]{fig/ldapca3dacc.pdf}
-\caption{PCA-LDA NN Recognition Accuracy varying hyper-parameters}
+\caption{PCA-LDA NN Recognition Accuracy varying Mpca,Mlda}
 \label{fig:ldapca_acc}
 \end{center}
 \end{figure}
@@ -306,7 +305,7 @@ Testing with $M_{\textrm{lda}}=50$ and $M_{\textrm{pca}}=115$ gives 92.9% accura
 \begin{figure}
 \begin{center}
 \includegraphics[width=17em]{fig/cmldapca.pdf}
-\caption{PCA-LDA NN Recognition Confusion Matrix Mlda=50, Mpca=115}
+\caption{PCA-LDA NN Recognition CM, Mlda=50, Mpca=115}
 \label{fig:ldapca_cm}
 \end{center}
 \end{figure}
@@ -531,8 +530,8 @@ LDA-PCA & 0.11		& 0.19		& 0.13		\\ \hline
 
 \begin{figure}
 \begin{center}
-\includegraphics[width=15em]{fig/memnn.pdf}
-\includegraphics[width=15em]{fig/memalt.pdf}
+\includegraphics{fig/memnn.pdf}
+\includegraphics{fig/memalt.pdf}
 \caption{Memory Usage for NN and alternative method}
 \label{fig:mem}
 \end{center}
-- 
cgit v1.2.3-54-g00ecf