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| -rwxr-xr-x | report2/metadata.yaml | 7 |
1 files changed, 6 insertions, 1 deletions
diff --git a/report2/metadata.yaml b/report2/metadata.yaml index 467efb6..f35d6aa 100755 --- a/report2/metadata.yaml +++ b/report2/metadata.yaml @@ -7,6 +7,11 @@ numbersections: yes lang: en babel-lang: english abstract: | - + This report analyses distance metrics learning techniques with regards to + identification accuracy for the dataset CUHK03. The baseline method used for + identification is Eucdidian based Nearest Neighbors based on Euclidean distance. + The improved approach we propose utilises Jaccardian metrics to rearrange the NN + ranklist based on reciprocal neighbours. While this approach is more complex and introduced new hyperparameter, significant accuracy improvements are observed - + approximately 10% increased Top-1 identifications, and good improvements for Top-$N$ accuracy with low $N$. ... |