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@@ -268,23 +268,22 @@ Figure \ref{fig:rerank} shows successful re-ranking as performed using the query
# Conclusions
+Overall the re-ranking method gives a significant improvement to both top $k$ accuracy and mean average precision.
+The cost of this operation is an increase in computation time due to the change in complexity from
+the baseline, summarized in the table.
-\begin{table}[]
+\begin{table}[H]
\centering
\begin{tabular}{ll}
\hline
\textbf{Process} & \textbf{Complexity} \\ \hline
Euclidean Distance Calculatoin & \textit{O(N\textsuperscript{2})} \\
-Mahalanobis Distance Calculatoin & \textit{O(N\textsuperscript{3 (2.708)})} \\
+Mahalanobis Distance Calculatoin & \textit{O(N\textsuperscript{3 (opt:2.708)})} \\
Re-ranking with Jaccard & \textit{O(N\textsuperscript{2}logN)} \\ \hline
\end{tabular}
\label{tab:complexity}
\end{table}
-Overall the re-ranking method gives a significant improvement to both top $k$ accuracy and mean average precision.
-The cost of this operation is an increase in computation time due to the change in complexity from
-the baseline, summarized in the table.
-
# References