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@DavidGeorge528
Last active June 1, 2017 15:05
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\begin{table}
\newcommand{\nlw}{\hspace{0cm}}
\newcommand{\tbf}{\textbf}
\newcommand{\tul}{\underline}
{\resizebox{\columnwidth}{!}{ % Use \textwidth for single column format.
\begin{tabular}{L{1.9cm} C{1cm} C{1cm} C{1cm} C{1.2cm} C{1cm}} % Set number of columns and their widths.
\toprule %
& \tbf{PCA} & \tbf{AE} & \tbf{AE} & \tbf{TOG15} & \tbf{1D} \\
& \tbf{\& NN} & \tbf{\& RF} & \tbf{\& NN} & \tbf{\cite{guo2015}} & \textbf{CNN} \\ \midrule
\tbf{Airplane} & 92.97 & 92.62 & 92.53 & 94.56 & \tbf{95.30} \\ \midrule
\tbf{Ant} & 95.15 & 95.17 & 95.15 & 97.55 & \tbf{98.43} \\ \midrule
\tbf{Armadillo} & 88.21 & 88.43 & 87.79 & 90.90 & \tbf{92.24} \\ \midrule
\tbf{Bird} & 85.14 & 88.93 & 88.20 & 86.20 & \tbf{89.98} \\ \midrule
\tbf{Chair} & 95.55 & 95.69 & 95.61 & 97.07 & \tbf{98.04} \\ \midrule
\tbf{Cup} & 95.09 & 97.95 & 97.82 & \tul{\tbf{98.95}} & \tul{98.78} \\ \midrule
\tbf{Fish} & 94.41 & \tul{\tbf{96.21}} & 95.31 & \tul{96.16} & \tul{95.97} \\ \midrule
\tbf{Fourleg} & 83.61 & 83.99 & 82.32 & 81.91 & \tbf{85.05} \\ \midrule
\tbf{Glasses} & 94.22 & \tul{96.57} & 96.42 & \tul{\tbf{96.95}} & \tul{96.69} \\ \midrule
\tbf{Hand} & 78.33 & 73.76 & 70.49 & 82.47 & \tbf{86.78} \\ \midrule
\tbf{Human} & 87.03 & 86.69 & 81.45 & \tbf{88.90} & 88.32 \\ \midrule
\tbf{Octopus} & 96.93 & 96.99 & 96.52 & \tul{\tbf{98.50}} & \tul{98.16} \\ \midrule
\tbf{Plier} & 93.75 & 92.59 & 91.53 & 94.54 & \tbf{95.29} \\ \midrule
\tbf{Table} & \tul{99.22} & \tul{99.18} & \tul{99.17} & \tul{\tbf{99.29}} & \tul{99.17} \\ \midrule
\tbf{Teddy} & \tul{98.07} & \tul{\tbf{98.24}} & \tul{98.20} & \tul{98.18} & \tul{98.12} \\ \midrule
\tbf{Vase} & 79.73 & 82.07 & 80.24 & \tbf{82.81} & 82.00 \\ \midrule \midrule
\tbf{Average} & 91.09 & 91.57 & 90.61 & 92.81 & \tbf{93.64} \\ \midrule
\tbf{Comparison} & 2 [0] & 4 [0] & 2 [0] & 8 [2] & \tbf{14 [8]} \\ \bottomrule \bottomrule
\end{tabular}}} %
\captionof{table}{Experimental results. \textbf{Bold}: highest accuracy; \underline{underlined}: accuracy within 0.5\% of the highest. Our 1D CNN technique performs comparably or better in majority of the sets. In the comparison row, the first number is the number of sets with the highest accuracy or accuracy comparable (within 0.5\%) to the highest. The number in [ ] is the number of sets with an accuracy higher than all other methods more than 0.5\%.}
\label{table:results}
\vspace{-0.7cm}
\end{table}
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