From 61a972f93c94f276aeffd4fded902810117d2391 Mon Sep 17 00:00:00 2001 From: Vasil Zlatanov Date: Mon, 10 Dec 2018 16:17:22 +0000 Subject: Add nice abstract --- report2/metadata.yaml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) (limited to 'report2') diff --git a/report2/metadata.yaml b/report2/metadata.yaml index 467efb6..f35d6aa 100755 --- a/report2/metadata.yaml +++ b/report2/metadata.yaml @@ -7,6 +7,11 @@ 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 we propose 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 $N$. ... -- cgit v1.2.3-54-g00ecf