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diff --git a/report/paper.md b/report/paper.md index d3e426f..79d4183 100755 --- a/report/paper.md +++ b/report/paper.md @@ -49,7 +49,7 @@ be used as an alternative to euclidiean distance. To evaluate improvements brought by alternative distance learning metrics a baseline is established through nearest neighbour identification as previously described. Identification accuracies at top1, top5 and top10 are respectively 47%, 67% and 75% -(figure \ref{fig:baselineacc}). The mAP is 47%. +(figure \ref{fig:baselineacc}). The mAP is 47.2%. \begin{figure} \begin{center} @@ -215,7 +215,7 @@ It is also necessary to estimate how precise the ranklist generated is. For this reason an additional method of evaluation is introduced: mAP. See reference @mAP. It is possible to see in figure \ref{fig:ranklist2} how the ranklist generated for the same five queries of figure \ref{fig:eucrank} -has improved for the fifth query. The mAP improves from 47% to 61.7%. +has improved for the fifth query. The mAP improves from 47.2% to 61.7%. \begin{figure} \begin{center} |