29 lines
822 B
TeX
29 lines
822 B
TeX
\begin{frame}
|
|
\frametitle{Topic 6: Transformations for Anomaly Detection}
|
|
|
|
\Large \textbf{Neural Transformation Learning for Deep Anomaly Detection Beyond Images} (Qui et al, 2021)\\
|
|
\LARGE \textbf{Supervisor:} Bin Li (bin.li@tu-dortmund.de)\\
|
|
|
|
%\begin{center}
|
|
%\includegraphics[height=3cm]{illustrations/bin1.png}
|
|
%\end{center}
|
|
|
|
\begin{columns}
|
|
\begin{column}{.675\textwidth}
|
|
\begin{center}
|
|
\includegraphics[height=3cm]{illustrations/bin1.png}
|
|
\end{center}
|
|
\end{column}
|
|
\begin{column}{.275\textwidth}
|
|
\begin{itemize}
|
|
\item Pretransformations (like Rotations) can improve ML
|
|
\item For Time-Series: Make learnable
|
|
\end{itemize}
|
|
|
|
\end{column}
|
|
\end{columns}
|
|
|
|
|
|
|
|
\end{frame}
|