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presentations/Bachelor-Final-Presentation/LaTeX/preprocessing.tex

@@ -1,5 +1,5 @@
-\subsection{Preprocessing}
-\begin{frame}{Preprocessing}
+\subsection{Preprocessing Algorithms}
+\begin{frame}{Preprocessing Algorithms}
     \begin{columns}[T] % contents are top vertically aligned
     \begin{column}[T]{5cm} % each column can also be its own environment
         \begin{itemize}
@@ -14,7 +14,7 @@
                 \item<4-> Smoothing (e.g. moving average)
                 \item<5-> Dot reduction
                 \item<6-> Filtering (by distance, speed or angle)
-                \item<7-> Stroke connection
+                \item<8-> Stroke connection
             \end{itemize}
         \end{itemize}
     \end{column}
@@ -22,7 +22,10 @@
         \only<2>{\includegraphics[width=6cm, keepaspectratio]{scale-and-shift.png}}
         \only<3>{\includegraphics[width=6cm, keepaspectratio]{resampling.png}}
         \only<4>{\includegraphics[width=6cm, keepaspectratio]{smooth-1-1-1.png}}
-        \only<7>{\includegraphics[width=6cm, keepaspectratio]{interrupted-stroke.png}}
+        \only<5>{\includegraphics[width=6cm, keepaspectratio]{dot-reduction.png}}
+        \only<6>{\includegraphics[width=6cm, keepaspectratio]{wildpoint-1.png}}
+        \only<7>{\includegraphics[width=6cm, keepaspectratio]{wildpoint-2.png}}
+        \only<8>{\includegraphics[width=6cm, keepaspectratio]{interrupted-stroke.png}}
     \end{column}
     \end{columns}
 

presentations/Bachelor-Final-Presentation/LaTeX/write-math.tex

@@ -1,149 +0,0 @@
-\subsection{Write Math}
-
-\begin{frame}{write-math.com}
-    \begin{itemize}
-        \item a website where users can add labeled training data and unlabeled
-              data which they want to classify. I call this data \enquote{recording}
-        \begin{figure}[ht]
-            \centering
-            \subfloat{
-                \includegraphics[height=0.1\textwidth]{../images/279952.pdf}
-            }%
-            \qquad
-            \subfloat{
-                \includegraphics[height=0.1\textwidth]{../images/281507.pdf}
-            }%
-            \qquad
-            \subfloat{
-                \includegraphics[height=0.1\textwidth]{../images/287612.pdf}
-            }%
-            \qquad
-            \subfloat{
-                \includegraphics[height=0.1\textwidth]{../images/292175.pdf}
-            }%
-            \caption*{4 recordings}
-        \end{figure}
-        \item works with desktop computers and touch devices
-        \item symbol recognition can be done by multiple classifiers
-        \item users can contribute formulas as recordings and as \LaTeX{} answers
-              for recordings
-        \item users can vote for \LaTeX{} answers:
-              \Large $\leq$, $\leqq$, $\leqslant$, \dots \normalsize
-        \item user who entered the recording can accept one answer
-    \end{itemize}
-\end{frame}
-
-% \framedgraphic{Classify}{../images/classify.png}
-% \framedgraphic{Workflow}{../images/workflow.png}
-% \framedgraphic{User page}{../images/user-page.png}
-% \framedgraphic{Information about recordings}{../images/view.png}
-% \framedgraphic{Symbol page}{../images/symbol.png}
-% \framedgraphic{Training}{../images/train.png}
-% \framedgraphic{Ranking}{../images/ranking.png}
-
-
-\begin{frame}[fragile]{Statistics}
-    \begin{itemize}
-        \item 127 users with at least 5 recordings
-        \item $\num{1111}$ symbols, but only $\num{369}$ used for experiments
-        \item $\num{235831}$ recordings (e.g. $\num{3489}$ times \verb+\int+, but only 50 times \verb+X+)
-    \end{itemize}
-\end{frame}
-
-% \begin{frame}{First classification worker}
-%     \begin{itemize}
-%         \item preprocessing: Scale to fit into unit square while keeping the aspect
-%               ratio
-%         \item applies greedy time warping
-%         \item compares a new recording with every recording
-%               in the database
-%         \item[$\Rightarrow$] Classification time is in $\mathcal{O}(\text{recordings})$,
-%               but we rather would like $\mathcal{O}(\text{symbols})$
-%         \item the current server / workflow can only handle about 4000 recordings
-%         \item[$\Rightarrow$] Another way to classify is necessary
-%     \end{itemize}
-% \end{frame}
-
-\begin{frame}[fragile]{Handwriting Recognition Toolkit (hwrt)}
-    \begin{itemize}
-        \item Many preprocessing algorithms / features implemented
-        \item Plug-in system for preprocessing algorithms / features
-        \item Needs neural network toolkit
-        \item Hosted at \url{https://github.com/MartinThoma/hwrt}
-        \item Installable via \verb+pip+ (Python package installer):\\
-              \verb+$ pip install hwrt+
-    \end{itemize}
-\end{frame}
-
-\begin{frame}[fragile]{hwrt preprocessing configuration file}
-    \begin{verbatim}
-data-source: raw-datasets/2014-08-26-20-14-data-raw.pickle
-queue:
-  - RemoveDuplicateTime: null
-  - ScaleAndShift:
-      - max_width: 1.0
-      - max_height: 1.0
-      - center: true
-  - SpaceEvenlyPerStroke:
-      - kind: linear
-      - number: 20
-    \end{verbatim}
-\end{frame}
-
-\subsection{Preprocessing algorithms}
-\begin{frame}{Preprocessing algorithms}
-    \begin{itemize}
-        \item Normalizing
-        \begin{itemize}
-            \item Scaling
-            \item Shifting
-            \item Resampling
-        \end{itemize}
-        \item Noise reduction
-        \begin{itemize}
-            \item Smoothing (e.g. moving average)
-            \item Dot reduction
-            \item Filtering (by distance, speed or angle)
-            \item Stroke connection
-        \end{itemize}
-    \end{itemize}
-\end{frame}
-
-\begin{frame}[fragile]{hwrt feature configuration file}
-    \begin{verbatim}
-data-source: preprocessed/baseline
-data-multiplication:
-  - Multiply:
-      - nr: 1
-features:
-  - ConstantPointCoordinates:
-      - strokes: 4
-      - points_per_stroke: 20
-      - fill_empty_with: 0
-      - pen_down: false
-    \end{verbatim}
-\end{frame}
-
-\subsection{Features}
-\begin{frame}{Features}
-    \begin{itemize}
-        \item Local
-        \begin{itemize}
-            \item Coordinates
-            \item Speed
-            \item Binary pen pressure
-            \item Direction
-            \item Curvature
-            \item Bitmap-environment
-            \item Hat-Feature
-        \end{itemize}
-        \item Global
-        \begin{itemize}
-            \item \# of points
-            \item \# of strokes
-            \item Center point
-            \item Bitmap
-            \item Bounding box (width, height, time)
-        \end{itemize}
-    \end{itemize}
-\end{frame}