diff --git a/src/introduction.tex b/src/introduction.tex
index f71c70f..4f36533 100644
--- a/src/introduction.tex
+++ b/src/introduction.tex
@@ -18,12 +18,12 @@ How does it compare to well established algorithms such as Patchcore or Efficien
 \subsubsection{How does disbalancing the Shot number affect performance?}
 Does giving the Few-Shot learner more good than bad samples improve the model performance?
 
-\subsubsection{How does the 3 methods perform in only detecting the anomaly class?}
+\subsubsection{How does the 3 (ResNet, CAML, \pmf) methods perform in only detecting the anomaly class?}
 How much does the performance improve if only detecting an anomaly or not?
 How does it compare to PatchCore and EfficientAD?
 
 \subsubsection{Extra: How does Euclidean distance compare to Cosine-similarity when using ResNet as a feature-extractor?}
-I've tried different distance measures -> but results are pretty much the same.
+I've tried different distance measures $\rightarrow$ but results are pretty much the same.
 
 \subsection{Outline}\label{subsec:outline}
 
diff --git a/src/main.tex b/src/main.tex
index 790a95c..714eba9 100644
--- a/src/main.tex
+++ b/src/main.tex
@@ -52,6 +52,10 @@
 
 \lstset{style=mystyle}
 
+
+\newcommand{\pmf}{$P{>}M{>}F$}
+
+
 %\lstset{basicstyle=\ttfamily, keywordstyle=\bfseries}
 
 \if\ieee1