annotate writeup/techreport.tex @ 380:0473b799d449

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author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Mon, 26 Apr 2010 14:56:34 -0400
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1 \documentclass[12pt,letterpaper]{article}
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2 \usepackage[utf8]{inputenc}
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3 \usepackage{graphicx}
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4 \usepackage{times}
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5 \usepackage{mlapa}
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6
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7 \begin{document}
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8 \title{Generating and Exploiting Perturbed Training Data for Deep Architectures}
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9 \author{}
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10 \date{April 2010, Technical Report, Dept. IRO, U. Montreal}
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11
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12 \maketitle
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13
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14 \begin{abstract}
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15
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16 \end{abstract}
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17
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18 \section{Introduction}
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19
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20 \section{Perturbation and Transformation of Character Images}
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21
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22 \subsection{Affine Transformations}
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23 \subsection{Adding Slant}
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24 \subsection{Local Elastic Deformations}
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25 \subsection{Changing Thickness}
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26 \subsection{Occlusion}
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27 \subsection{Background Images}
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28 \subsection{Salt and Pepper Noise}
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29 \subsection{Spatially Gaussian Noise}
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30 \subsection{Color and Contrast Changes}
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31
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32
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33 \section{Learning Algorithms for Deep Architectures}
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34
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35 \section{Experimental Setup}
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36
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37 \subsection{Training Datasets}
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38
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39 \subsubsection{Data Sources}
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40
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41 \begin{itemize}
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42 \item {\bf NIST}
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43 \item {\bf Fonts}
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44 \item {\bf Captchas}
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45 \item {\bf OCR data}
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46 \end{itemize}
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47
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48 \subsubsection{Data Sets}
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49 \begin{itemize}
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50 \item {\bf NIST}
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51 \item {\bf P07}
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52 \item {\bf NISTP} {\em ne pas utiliser PNIST mais NISTP, pour rester politically correct...}
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53 \end{itemize}
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54
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55 \subsection{Models and their Hyperparameters}
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56
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57 \subsubsection{Multi-Layer Perceptrons (MLP)}
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58
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59 \subsubsection{Stacked Denoising Auto-Encoders (SDAE)}
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60
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61 \section{Experimental Results}
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63 \subsection{SDAE vs MLP}
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64
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65 \subsection{Perturbed Training Data More Helpful for SDAE}
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66
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67 \subsection{Training with More Classes than Necessary}
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68
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69 \section{Conclusions}
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70
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71 \bibliography{strings,ml}
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72 \bibliographystyle{mlapa}
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73
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74 \end{document}