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| author | Vasil Zlatanov <v@skozl.com> | 2018-12-12 22:57:10 +0000 |
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| committer | Vasil Zlatanov <v@skozl.com> | 2018-12-12 22:57:10 +0000 |
| commit | 0dc731d0cfc88efcaa5252ccfe25b25c020b69f1 (patch) | |
| tree | c64a4cd59410cc3dedea2600f42f8538a5d30ef1 /report2/metadata.yaml | |
| parent | 0a1ad07219daa52419eb3bdfbf435eeb1266e209 (diff) | |
| download | vz215_np1915-0dc731d0cfc88efcaa5252ccfe25b25c020b69f1.tar.gz vz215_np1915-0dc731d0cfc88efcaa5252ccfe25b25c020b69f1.tar.bz2 vz215_np1915-0dc731d0cfc88efcaa5252ccfe25b25c020b69f1.zip | |
Rename report folder
Diffstat (limited to 'report2/metadata.yaml')
| -rwxr-xr-x | report2/metadata.yaml | 17 |
1 files changed, 0 insertions, 17 deletions
diff --git a/report2/metadata.yaml b/report2/metadata.yaml deleted file mode 100755 index 20375f9..0000000 --- a/report2/metadata.yaml +++ /dev/null @@ -1,17 +0,0 @@ ---- -title: 'EE4-68 Pattern Recognition (2018-2019) CW2' -author: - - name: Vasil Zlatanov (01120518), Nunzio Pucci (01113180) - location: vz215@ic.ac.uk, np1915@ic.ac.uk -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 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 $N$. -... - |