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Arthur Grisel-Davy 2022-10-12 16:42:20 -04:00
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@ -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}
@ -181,7 +182,7 @@ 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}