Mercurial > ift6266
comparison writeup/techreport.tex @ 393:4c840798d290
added examples of figure and table of results
| author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
|---|---|
| date | Tue, 27 Apr 2010 09:59:40 -0400 |
| parents | 5f8fffd7347f |
| children | fe2e2964e7a3 |
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| 392:5f8fffd7347f | 393:4c840798d290 |
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| 80 \subsection{Background Images} | 80 \subsection{Background Images} |
| 81 \subsection{Salt and Pepper Noise} | 81 \subsection{Salt and Pepper Noise} |
| 82 \subsection{Spatially Gaussian Noise} | 82 \subsection{Spatially Gaussian Noise} |
| 83 \subsection{Color and Contrast Changes} | 83 \subsection{Color and Contrast Changes} |
| 84 | 84 |
| 85 \begin{figure}[h] | |
| 86 \resizebox{.99\textwidth}{!}{\includegraphics{images/example_t.png}}\\ | |
| 87 \caption{Illustration of the pipeline of stochastic | |
| 88 transformations applied to the image of a lower-case t | |
| 89 (the upper left image). Each image in the pipeline (going from | |
| 90 left to right, first top line, then bottom line) shows the result | |
| 91 of applying one of the modules in the pipeline. The last image | |
| 92 (bottom right) is used as training example.} | |
| 93 \label{fig:pipeline} | |
| 94 \end{figure} | |
| 85 | 95 |
| 86 \section{Learning Algorithms for Deep Architectures} | 96 \section{Learning Algorithms for Deep Architectures} |
| 87 | 97 |
| 88 \section{Experimental Setup} | 98 \section{Experimental Setup} |
| 89 | 99 |