
p@36: 
p@36: \section{Data Representation}
p@36: 
p@36: \begin{itemize}
p@36: \item The CNN produces a vector representation of the spectrograms for each audio file.
p@36: \item The EDA \cite{Ding2015451} estimates a probabilistic model from a sample to model the user profiles from the user ratings dataset and vector representation. 
p@36: \end{itemize}
p@36: 
p@36: %$$
p@36: %\label{eq:pgmmx}
p@36: %p(x)=\sum^{K}_{k=1}p(x|k)P(k)
p@36: %$$
p@36: \begin{center}
p@36: 	\resizebox*{0.85\columnwidth}{!}{\includegraphics{images/diagram_cnn.eps}}\\
p@36: 	{\large \textbf{Fig. 2.} Architecture of a CNN for music genre representation}\\[2ex]
p@36: 	\resizebox*{0.6\columnwidth}{!}{\includegraphics{images/flowchart_eda.eps}}\\
p@36: 	{\large \textbf{Fig. 3.} General flowchart for an EDA}\\
p@36: 	%\begin{tabular}{c@{ }c}
p@36: 	%\resizebox*{0.45\columnwidth}{!}{\includegraphics{images/diagram_hybrid_music_recommender.eps}} &
p@36: 	%\resizebox*{0.45\columnwidth}{!}{\includegraphics{images/fruit/plums.eps}} \\
p@36: 	%Bananas & Plums \\
p@36: 	%\end{tabular}
p@36: \end{center}



