diff --git a/DSD/first_formalization_presentation/presentation_formalization.tex b/DSD/first_formalization_presentation/presentation_formalization.tex
index cb1ef6e..1c229ec 100644
--- a/DSD/first_formalization_presentation/presentation_formalization.tex
+++ b/DSD/first_formalization_presentation/presentation_formalization.tex
@@ -13,7 +13,7 @@
 \usepackage{array}
 \usepackage{xspace}
 
-\title{Device State Detector (DSD): Formalization}
+\title{Device State Detector (DSD): Technical Presentation}
 \subtitle{Trust me I've read a book.}
 \date{}
 \author{Arthur Grisel-Davy}
@@ -42,7 +42,7 @@ $\Longrightarrow$ Supervised, multi-class, mono-label, classification problem.
 \end{frame}
 
 \begin{frame}{Normalized distance}
-\begin{align}\label{eq:distance_original}
+\begin{align}
     &nd: a\times b \in T^2 \rightarrow \mathbb{R} \nonumber\\
     &nd(a,b) = \dfrac{Eucd(a,b)}{N_b}
 \end{align}
@@ -63,7 +63,7 @@ $\Longrightarrow$ Supervised, multi-class, mono-label, classification problem.
 \begin{frame}{Performance metric}
 \begin{itemize}
     \item Accuracy: $Acc = \dfrac{1}{N}\sum_{n\in N}1_{(l[n] = true[n])}$
-    \item State occurrence: Count state occurrence independently of correct position or size.
+    \item Levenshtein Distance: number of miss/non detected states.
 \end{itemize}
 \end{frame}
 
@@ -168,12 +168,13 @@ Three distance measures:
 \end{frame}
 
 \begin{frame}{Conclusion}
+    DSD is:
     \begin{itemize}
-        \item DSD is an implementation of 1-NN with custom distances and shrinkage.
-        \item Can easily be adapted to multiple protos per class.
-        \item Data requirements and constraints minimal.
-        \item Detects $P+1$ classes.
-        \item One hyperparameter $\alpha$ to controle miss/un -classification tradeoff.
+        \item an implementation of 1-NN with custom distances and shrinkage.
+        \item easily adaptable to multiple protos per class.
+        \item extremely low on data requirement.
+        \item able to detects $P+1$ classes.
+        \item parametrized by only $\alpha$ to controle miss/un -classification tradeoff.
     \end{itemize}
 \end{frame}
 
@@ -181,9 +182,9 @@ Three distance measures:
 \begin{itemize}
     \item Capture and label more data.
     \item Evaluate possibility of uneven shrinkage.
-    \item Detect attacks, publish paper, save the world, accept Nobel prize.
+    \item Enable multiple protos per class i.e. \textit{more-than-one}-NN
 \end{itemize}
     
 \end{frame}
 
-\end{document}
\ No newline at end of file
+\end{document}