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authornunzip <np.scarh@gmail.com>2018-12-12 23:14:44 +0000
committernunzip <np.scarh@gmail.com>2018-12-12 23:14:44 +0000
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parent7eef0dccc6ff8cfa2e75fa3d940f9a2f38144611 (diff)
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Merge branch 'master' of git.skozl.com:e4-pattern
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----
-title: 'EE4-68 Pattern Recognition (2018-2019) CW2'
-author:
- - name: Vasil Zlatanov (01120518), Nunzio Pucci (01113180)
- email: vz215@ic.ac.uk, np1915@ic.ac.uk
- link: 'Sources: < [git](https://git.skozl.com/e4-pattern/) - [tar](https://git.skozl.com/e4-pattern/snapshot/vz215_np1915-master.tar.gz) - [zip](https://git.skozl.com/e4-pattern/snapshot/vz215_np1915-master.zip) >'
-numbersections: yes
-lang: en
-babel-lang: english
-nocite: |
- @deepreid, @sklearn
-
-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 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 $N$.
-...
-