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authornunzip <np.scarh@gmail.com>2018-12-13 23:21:00 +0000
committernunzip <np.scarh@gmail.com>2018-12-13 23:21:00 +0000
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Fix repetitions and grammar mistakes
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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 $N$.
...