Remove subcaption and fix table
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@ -424,9 +424,9 @@ We show that the DAGP posterior contains two separate models for the two origina
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\subsection{Noise Separation}
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\label{subsec:choicenet}
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%
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\begin{figure}[t]
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\begin{table}[t]
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\centering
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\captionof{table}{
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\caption{
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\label{tab:choicenet}
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Results on the ChoiceNet data set.
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The gray part of the table shows RMSE results for baseline models from~\parencite{choi_choicenet_2018}.
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@ -448,33 +448,17 @@ We show that the DAGP posterior contains two separate models for the two origina
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80\,\% & \textbf{0.126} & -1.35 & 0.128 & 0.896 & \textbf{0.084} & 0.778 & 0.829 & 0.779 & 0.777 & 1.523 \\
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\bottomrule
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\end{tabularx}
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\\[\baselineskip]
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\begin{subfigure}{.37\linewidth}
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\centering
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\includestandalone{figures/choicenet_data_40}
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\end{subfigure}%
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\begin{subfigure}{.315\linewidth}
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\centering
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\includestandalone{figures/choicenet_joint_40}
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\end{subfigure}%
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\begin{subfigure}{.315\linewidth}
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\centering
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\includestandalone{figures/choicenet_attrib_40}
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\end{subfigure}%
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\end{table}
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\begin{figure}[t]
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\centering
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\includestandalone{figures/choicenet_data_40}\hspace{-7pt}
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\includestandalone{figures/choicenet_joint_40}\hspace{-7pt}
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\includestandalone{figures/choicenet_attrib_40}
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\\
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\begin{subfigure}{.37\linewidth}
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\centering
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\includestandalone{figures/choicenet_data}
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\end{subfigure}%
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\begin{subfigure}{.315\linewidth}
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\centering
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\includestandalone{figures/choicenet_joint}
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\end{subfigure}%
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\begin{subfigure}{.315\linewidth}
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\centering
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\includestandalone{figures/choicenet_attrib}
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\end{subfigure}%
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\captionof{figure}{
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\includestandalone{figures/choicenet_data}\hspace{-7pt}
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\includestandalone{figures/choicenet_joint}\hspace{-7pt}
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\includestandalone{figures/choicenet_attrib}
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\caption{
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\label{fig:choicenet}
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DAGP on the ChoiceNet data set with 40\,\% outliers (upper row) and 60\,\% outliers (lower row).
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We show the raw data (left), joint posterior (center) and assignments (right).
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@ -568,7 +552,7 @@ At $x = -10$ the inferred modes and assignment processes start reverting to thei
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table-figures-uncertainty=1,
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detect-weight,
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}
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\newcolumntype{H}{>{\setbox0=\hbox\bgroup}c<{\egroup}@{}}
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\newcolumntype{H}{>{\setbox0=\hbox\bgroup\begin{math}}c<{\end{math}\egroup}@{}}
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\setlength{\tabcolsep}{1pt}
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\begin{tabular}{HlSSHSHS}
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\toprule
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@ -576,10 +560,10 @@ At $x = -10$ the inferred modes and assignment processes start reverting to thei
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\cmidrule(lr){3-4} \cmidrule(lr){5-6} \cmidrule(lr){7-8}
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Runs & & {Train} & {Test} & {Train} & {Test} & {Train} & {Test} \\
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\midrule
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10 & DAGP & \bfseries 0.575 \pm 0.013 & \bfseries 0.521 \pm 0.009 & 0.855 \pm 0.002 & 0.844 \pm 0.002 & \bfseries 0.686 \pm 0.009 & \bfseries 0.602 \pm 0.005 \\
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10 & DAGP & \bfseries 0.575 \pm 0.013 & \bfseries 0.521 \pm 0.009 & 0.855 \pm 0.002 & 0.844 \pm 0.002 & 0.686 \pm 0.009 & \bfseries 0.602 \pm 0.005 \\
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% 10 & U-DAGP & 0.472 \pm 0.002 & 0.425 \pm 0.002 & {\textemdash} & {\textemdash} & {\textemdash} & {\textemdash} \\
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10 & DAGP 2 & 0.548 \pm 0.012 & \bfseries 0.519 \pm 0.008 & 0.851 \pm 0.003 & \bfseries 0.859 \pm 0.001 & 0.673 \pm 0.013 & 0.599 \pm 0.011 \\
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10 & DAGP 3 & 0.527 \pm 0.004 & 0.491 \pm 0.003 & \bfseries 0.858 \pm 0.002 & 0.852 \pm 0.002 & 0.624 \pm 0.011 & 0.545 \pm 0.012 \\
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10 & DAGP 3 & 0.527 \pm 0.004 & 0.491 \pm 0.003 & 0.858 \pm 0.002 & 0.852 \pm 0.002 & 0.624 \pm 0.011 & 0.545 \pm 0.012 \\
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% 10 & DAGP 4 & 0.517 \pm 0.006 & 0.485 \pm 0.003 & 0.858 \pm 0.001 & 0.852 \pm 0.002 & 0.602 \pm 0.011 & 0.546 \pm 0.010 \\
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% 10 & DAGP 5 & 0.535 \pm 0.004 & 0.506 \pm 0.005 & 0.851 \pm 0.003 & 0.851 \pm 0.003 & 0.662 \pm 0.009 & 0.581 \pm 0.012 \\
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\addlinespace
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@ -21,7 +21,7 @@
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% Layout
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% \usepackage[labelfont=it, font=small, format=plain, labelsep=period]{caption}
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\usepackage[skip=3pt]{subcaption}
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% \usepackage[skip=3pt]{subcaption}
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% \usepackage[width=234mm, height=295mm, frame, pdflatex, center]{crop}
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% \usepackage[keeplastbox]{flushend}
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