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author | nunzip <np.scarh@gmail.com> | 2018-12-13 23:21:00 +0000 |
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committer | nunzip <np.scarh@gmail.com> | 2018-12-13 23:21:00 +0000 |
commit | 2685022dbcaeeafdbb0025a8737edbaa5eeab425 (patch) | |
tree | cb1cf5f437efd1c384e2c9340c5d41625145c6f1 /report/metadata.yaml | |
parent | 2feec00db780914924e751ce0824b5701f1ad744 (diff) | |
download | vz215_np1915-2685022dbcaeeafdbb0025a8737edbaa5eeab425.tar.gz vz215_np1915-2685022dbcaeeafdbb0025a8737edbaa5eeab425.tar.bz2 vz215_np1915-2685022dbcaeeafdbb0025a8737edbaa5eeab425.zip |
Fix repetitions and grammar mistakes
Diffstat (limited to 'report/metadata.yaml')
-rwxr-xr-x | report/metadata.yaml | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/report/metadata.yaml b/report/metadata.yaml index e4d4470..74732a6 100755 --- a/report/metadata.yaml +++ b/report/metadata.yaml @@ -13,9 +13,11 @@ nocite: | 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. + identification is Nearest Neighbors based on Euclidean distance. The improved approach evaluated 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 $N$. + ranklist based on reciprocal neighbours. While this approach is more complex and introduces new hyperparameters, + significant accuracy improvements are observed - + approximately 10% higher Top-1 identification, and good improvements for Top-$N$ + accuracy with low $N$. ... |