From 61a972f93c94f276aeffd4fded902810117d2391 Mon Sep 17 00:00:00 2001
From: Vasil Zlatanov <v@skozl.com>
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/metadata.yaml')

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 $N$.
 ...
 
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