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| author | nunzip <np.scarh@gmail.com> | 2018-12-12 23:14:44 +0000 |
|---|---|---|
| committer | nunzip <np.scarh@gmail.com> | 2018-12-12 23:14:44 +0000 |
| commit | 7167c720b525b86d689775c58b0be4ec92c8fc4d (patch) | |
| tree | c5ab0df21723f161f67f2ac4970434798d569b55 /report/metadata.yaml | |
| parent | 88ed5d2fec953107584fb53fefd9094dac6dec38 (diff) | |
| parent | 7eef0dccc6ff8cfa2e75fa3d940f9a2f38144611 (diff) | |
| download | vz215_np1915-7167c720b525b86d689775c58b0be4ec92c8fc4d.tar.gz vz215_np1915-7167c720b525b86d689775c58b0be4ec92c8fc4d.tar.bz2 vz215_np1915-7167c720b525b86d689775c58b0be4ec92c8fc4d.zip | |
Merge branch 'master' of git.skozl.com:e4-pattern
Diffstat (limited to 'report/metadata.yaml')
| -rwxr-xr-x | report/metadata.yaml | 21 |
1 files changed, 21 insertions, 0 deletions
diff --git a/report/metadata.yaml b/report/metadata.yaml new file mode 100755 index 0000000..5f9f737 --- /dev/null +++ b/report/metadata.yaml @@ -0,0 +1,21 @@ +--- +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 $N$. +... + |