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presentations/Bachelor-Final-Presentation/LaTeX/Bachelor-Final-Presentation.pdf
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presentations/Bachelor-Final-Presentation/LaTeX/evaluation.tex
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\subsection{Evaluation}
\begin{frame}{Baseline Systems}
\textbf{Preprocessing:} Scaling, shifting and linear interpolation\\
\textbf{Features:} Coordinates of 80 points (4 strokes with 20 points each)\\
\textbf{Learning:} MLP, 1000 epochs, LR $\eta=0.1$, Momentum $\alpha=0.1$
\begin{table}[h]
\centering
\begin{tabular}{clrrr}
\toprule
\multirow{2}{*}{System} & \multirow{2}{*}{Topology} & \multicolumn{3}{c}{Classification error}\\
& & TOP1 & TOP3 & MER \\\midrule
$B_1$ & 160:500:369 & $\SI{23.34}{\percent}$ & $\SI{6.80}{\percent}$ & $\SI{6.64}{\percent}$ \\
$B_2$ & 160:500:500:369 & \underline{$\SI{21.51}{\percent}$} & $\SI{5.75}{\percent}$ & $\SI{5.67}{\percent}$ \\
$B_3$ & 160:500:500:500:369 & $\SI{21.93}{\percent}$ & \underline{$\SI{5.74}{\percent}$} & \underline{$\SI{5.64}{\percent}$} \\
% $B_4$ & 160:500:500:500:500:369 & $\SI{23.88}{\percent}$ & $\SI{6.12}{\percent}$ & $\SI{6.04}{\percent}$ \\
\bottomrule
\end{tabular}
\caption{Baseline systems with three different classification error measures.
All errors were measured on the test set.}
\label{table:baseline-systems}
\end{table}
\end{frame}
\subsection{Merged Symbols}
\begin{frame}[fragile]{Merged symbols (MER error)}
\begin{table}[ht]
@ -66,33 +89,57 @@
\end{frame}
\subsection{Evaluation}
\begin{frame}{Experiments}
\textbf{Preprocessing:} Scaling, shifting and linear interpolation\\
\textbf{Features:} Coordinates of 80 points (4 strokes with 20 points each)\\
\textbf{Learning:} MLP, 1000 epochs, LR $\eta=0.1$, Momentum $\alpha=0.1$
\begin{frame}{Preprocessing: Connect strokes}
\begin{table}[h]
\centering
\begin{tabular}{clrrr}
\begin{tabular}{lrrrrrr}
\toprule
\multirow{2}{*}{System} & \multirow{2}{*}{Topology} & \multicolumn{3}{c}{Classification error}\\
& & TOP1 & TOP3 & MER \\\midrule
$B_1$ & 160:500:369 & $\SI{23.34}{\percent}$ & $\SI{6.80}{\percent}$ & $\SI{6.64}{\percent}$ \\
$B_2$ & 160:500:500:369 & \underline{$\SI{21.51}{\percent}$} & $\SI{5.75}{\percent}$ & $\SI{5.67}{\percent}$ \\
$B_3$ & 160:500:500:500:369 & $\SI{21.93}{\percent}$ & \underline{$\SI{5.74}{\percent}$} & \underline{$\SI{5.64}{\percent}$} \\
$B_4$ & 160:500:500:500:500:369 & $\SI{23.88}{\percent}$ & $\SI{6.12}{\percent}$ & $\SI{6.04}{\percent}$ \\
\multirow{2}{*}{System} & \multicolumn{6}{c}{Classification error}\\
\cmidrule(l){2-7}
& TOP1 & change & TOP3 & change & MER & change \\\midrule
$B_{1,\theta = \SI{5}{\pixel}}$ & $\SI{23.27}{\percent}$ & $\SI{-0.07}{\percent}$ & $\SI{6.50}{\percent}$ & $\SI{-0.30}{\percent}$ & $\SI{6.37}{\percent}$ & $\SI{-0.27}{\percent}$ \\
$B_{2,\theta = \SI{5}{\pixel}}$ & $\SI{21.20}{\percent}$ & $\SI{-0.31}{\percent}$ & $\SI{5.59}{\percent}$ & $\SI{-0.16}{\percent}$ & $\SI{5.50}{\percent}$ & $\SI{-0.17}{\percent}$ \\
$B_{3,\theta = \SI{5}{\pixel}}$ & $\SI{21.80}{\percent}$ & $\SI{-0.13}{\percent}$ & $\SI{5.54}{\percent}$ & $\SI{-0.20}{\percent}$ & $\SI{5.47}{\percent}$ & $\SI{-0.17}{\percent}$ \\\midrule
$B_{1,\theta = \SI{10}{\pixel}}$& $\SI{23.17}{\percent}$ & $\SI{-0.17}{\percent}$ & $\SI{6.61}{\percent}$ & $\SI{-0.19}{\percent}$ & $\SI{6.47}{\percent}$ & $\SI{-0.17}{\percent}$ \\
$B_{2,\theta = \SI{10}{\pixel}}$& \underline{$\SI{20.97}{\percent}$} & $\SI{-0.54}{\percent}$ & $\SI{5.43}{\percent}$ & $\SI{-0.32}{\percent}$ & $\SI{5.34}{\percent}$ & $\SI{-0.33}{\percent}$ \\
$B_{3,\theta = \SI{10}{\pixel}}$& $\SI{21.34}{\percent}$ & $\SI{-0.59}{\percent}$ & \underline{$\SI{5.42}{\percent}$} & $\SI{-0.32}{\percent}$ & \underline{$\SI{5.33}{\percent}$} & $\SI{-0.31}{\percent}$ \\\midrule
$B_{1,\theta = \SI{20}{\pixel}}$& $\SI{22.81}{\percent}$ & $\SI{-0.53}{\percent}$ & $\SI{6.28}{\percent}$ & $\SI{-0.52}{\percent}$ & $\SI{6.19}{\percent}$ & $\SI{-0.45}{\percent}$ \\
$B_{2,\theta = \SI{20}{\pixel}}$& $\SI{21.61}{\percent}$ & $\SI{+0.10}{\percent}$ & $\SI{5.79}{\percent}$ & $\SI{+0.04}{\percent}$ & $\SI{5.69}{\percent}$ & $\SI{+0.02}{\percent}$ \\
$B_{3,\theta = \SI{20}{\pixel}}$& $\SI{21.71}{\percent}$ & $\SI{-0.22}{\percent}$ & $\SI{5.55}{\percent}$ & $\SI{-0.19}{\percent}$ & $\SI{5.45}{\percent}$ & $\SI{-0.19}{\percent}$ \\
\bottomrule
\end{tabular}
\caption{Baseline systems with three different classification error measures.
All errors were measured on the test set.}
\label{table:baseline-systems}
\caption{Models $B_1$--$B_4$ with additionally applied stroke
connect algorithm.}
\label{table:stroke-connect-evaluation}
\end{table}
\end{frame}
\subsection{Complex classifier}
\begin{frame}{Complex classifier}
\textbf{Preprocessing:} Connect strokes, scale, shift and linear interpolation\\
\textbf{Features:} Coordinates of 80 points (4 strokes with 20 points each), re-curvature per stroke, ink, stroke count, aspect ratio\\
\textbf{Learning:} MLP, 1000 epochs, LR $\eta=0.1$, Momentum $\alpha=0.1$, supervised layer-wise pretraining
\begin{frame}{Learning: Supervised layer-wise pretraining}
\begin{table}[tb]
\centering
\begin{tabular}{lrrrrrr}
\toprule
\multirow{2}{*}{System}& \multicolumn{6}{c}{Classification error}\\
\cmidrule(l){2-7}
& TOP1 & change & TOP3 & change & MER & change \\\midrule
$B_1$ & $\SI{23.34}{\percent}$ & & $\SI{6.80}{\percent}$ & & $\SI{6.64}{\percent}$ & \\%chktex 8
$B_{2,p}$ & $\SI{19.89}{\percent}$ & $\SI{-1.62}{\percent}$ & $\SI{4.76}{\percent}$ & $\SI{-0.99}{\percent}$ & $\SI{4.68}{\percent}$ & $\SI{-0.99}{\percent}$\\
$B_{3,p}$ & \underline{$\SI{19.43}{\percent}$} & $\SI{-2.50}{\percent}$ & \underline{$\SI{4.64}{\percent}$} & $\SI{-1.10}{\percent}$ & \underline{$\SI{4.54}{\percent}$} & $\SI{-1.10}{\percent}$\\
% $B_{4,p}$ (pretrained) & $\SI{19.63}{\percent}$ & $\SI{-4.25}{\percent}$ & $\SI{4.66}{\percent}$ & $\SI{-1.46}{\percent}$ & $\SI{4.55}{\percent}$ & $\SI{-1.49}{\percent}$\\
\bottomrule
\end{tabular}
\caption{Supervised layer-wise pretraining, 1000 epochs per layer}
\label{table:pretraining-copy-before}
\end{table}
\end{frame}
\definecolor{light-gray}{gray}{0.70}
\subsection{Optimized classifier}
\begin{frame}{Optimized classifier}
\textbf{Preprocessing:} Connect strokes{\color{light-gray}, scale, shift and linear interpolation}\\
\textbf{Features:} {\color{light-gray}Coordinates of 80 points (4 strokes with 20 points each),} re-curvature per stroke, ink, stroke count, aspect ratio\\
\textbf{Learning:} {\color{light-gray}MLP, 1000 epochs, LR $\eta=0.1$, Momentum $\alpha=0.1$,} supervised layer-wise pretraining
\begin{table}[htb]
\centering
\begin{tabular}{lrrrrrr}
@ -103,7 +150,7 @@
$B_{1,c}$ & $\SI{20.96}{\percent}$ & $\SI{-2.38}{\percent}$ & $\SI{5.24}{\percent}$ & $\SI{-1.56}{\percent}$ & $\SI{5.13}{\percent}$ & $\SI{-1.51}{\percent}$ \\
$B_{2,c}$ & $\SI{18.26}{\percent}$ & $\SI{-3.25}{\percent}$ & $\SI{4.07}{\percent}$ & $\SI{-1.68}{\percent}$ & \underline{$\SI{3.98}{\percent}$} & $\SI{-1.69}{\percent}$ \\
$B_{3,c}$ & \underline{$\SI{18.19}{\percent}$} & $\SI{-3.74}{\percent}$ & \underline{$\SI{4.06}{\percent}$} & $\SI{-1.68}{\percent}$ & $\SI{3.99}{\percent}$ & $\SI{-1.65}{\percent}$ \\
$B_{4,c}$ & $\SI{18.57}{\percent}$ & $\SI{-5.31}{\percent}$ & $\SI{4.25}{\percent}$ & $\SI{-1.87}{\percent}$ & $\SI{4.18}{\percent}$ & $\SI{-1.86}{\percent}$ \\
% $B_{4,c}$ & $\SI{18.57}{\percent}$ & $\SI{-5.31}{\percent}$ & $\SI{4.25}{\percent}$ & $\SI{-1.87}{\percent}$ & $\SI{4.18}{\percent}$ & $\SI{-1.86}{\percent}$ \\
\bottomrule
\end{tabular}
\caption{Error rates of the complex recognizer systems.}

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presentations/Bachelor-Final-Presentation/LaTeX/features.tex
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\subsection{Features}
\begin{frame}{Features}
\begin{itemize}
\item Local
\begin{columns}[T] % contents are top vertically aligned
\begin{column}[T]{5cm} % each column can also be its own environment
\textbf{Local Features}
\begin{itemize}
\item Coordinates
\item Speed
@ -11,15 +12,18 @@
\item Bitmap-environment
\item Hat-Feature
\end{itemize}
\item Global
\end{column}
\begin{column}[T]{6cm} % alternative top-align that's better for graphics
\textbf{Global Features}
\begin{itemize}
\item \# of points
\item \# of dots ($i$, $j$, $\therefore$, $\because$, \dots)
\item \# of strokes
\item Center point
\item Center point coordinates
\item Bitmap
\item Bounding box (width, height, time)
\item Re-curvature
\item Re-curvature per stroke $s$ $\left ( \frac{\text{height}(s)}{d(s[0], s[-1])} \right )$
\item Ink
\end{itemize}
\end{itemize}
\end{column}
\end{columns}
\end{frame}

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presentations/Bachelor-Final-Presentation/LaTeX/preprocessing.tex
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\only<8>{\includegraphics[width=6cm, keepaspectratio]{interrupted-stroke.png}}
\end{column}
\end{columns}
\end{frame}

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presentations/Bachelor-Final-Presentation/README.md
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About
-----
This is a 20 minutes presentation for my bachelors thesis. At this point,
I still have one (of four) months left. So work is still in progress.
This is a 20 minutes presentation for my bachelors thesis. It is the final
presentation.
It will be at Thursday, the 6. November 2014 at 11:45 in [building 50.20](http://www.kithub.de/map/2210)
(ehemalige Kinderklinik) in the conference room (institue of Prof. Waibel; I think it's the 3rd floor).
KIT-Style
---------

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presentations/Bachelor-Final-Presentation/templates/myStyle.sty
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\usepackage{lmodern}
\usepackage{listings}
\usepackage{siunitx}
\DeclareSIUnit\pixel{px}
\usepackage{wasysym}
\usepackage{booktabs}
\usepackage{wrapfig} % see http://en.wikibooks.org/wiki/LaTeX/Floats,_Figures_and_Captions