diff writeup/techreport.tex @ 379:a21a174c1c18

added writeup skeleton
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Mon, 26 Apr 2010 14:56:06 -0400
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+\documentclass[12pt,letterpaper]{article}
+\usepackage[utf8]{inputenc}
+\usepackage{graphicx}
+\usepackage{times}
+\usepackage{mlapa}
+
+\begin{document}
+\title{Generating and Exploiting Perturbed Training Data for Deep Architectures}
+\author{}
+\date{April 2010, Technical Report, Dept. IRO, U. Montreal}
+
+\maketitle
+
+\begin{abstract}
+
+\end{abstract}
+
+\section{Introduction}
+
+\section{Perturbation and Transformation of Character Images}
+
+\subsection{Affine Transformations}
+\subsection{Adding Slant}
+\subsection{Local Elastic Deformations}
+\subsection{Changing Thickness}
+\subsection{Occlusion}
+\subsection{Background Images}
+\subsection{Salt and Pepper Noise}
+\subsection{Spatially Gaussian Noise}
+\subsection{Color and Contrast Changes}
+
+
+\section{Learning Algorithms for Deep Architectures}
+
+\section{Experimental Setup}
+
+\subsection{Training Datasets}
+
+\subsubsection{Data Sources}
+
+\begin{itemize}
+\item {\bf NIST}
+\item {\bf Fonts}
+\item {\bf Captchas}
+\item {\bf OCR data}
+\end{itemize}
+
+\subsubsection{Data Sets}
+\begin{itemize}
+\item {\bf NIST}
+\item {\bf P07}
+\item {\bf NISTP} {\em ne pas utiliser PNIST mais NISTP, pour rester politically correct...}
+\end{itemize}
+
+\subsection{Models and their Hyperparameters}
+
+\subsubsection{Multi-Layer Perceptrons (MLP)}
+
+\subsubsection{Stacked Denoising Auto-Encoders (SDAE)}
+
+\section{Experimental Results}
+
+\subsection{SDAE vs MLP}
+
+\subsection{Perturbed Training Data More Helpful for SDAE}
+
+\subsection{Training with More Classes than Necessary}
+
+\section{Conclusions}
+
+\bibliography{strings,ml}
+\bibliographystyle{mlapa}
+
+\end{document}
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