From 40bff320aacdda8d577a7ebd9a74aeae45523ed8 Mon Sep 17 00:00:00 2001
From: Vasil Zlatanov <v@skozl.com>
Date: Tue, 20 Nov 2018 12:26:20 +0000
Subject: Add references (and minor grammer

---
 report/bibliography.bib | 27 +++++++++++++++++++--------
 1 file changed, 19 insertions(+), 8 deletions(-)

(limited to 'report/bibliography.bib')

diff --git a/report/bibliography.bib b/report/bibliography.bib
index 5bee281..5c58f17 100644
--- a/report/bibliography.bib
+++ b/report/bibliography.bib
@@ -1,10 +1,21 @@
-@misc{djangoproject_models_2016,
-  title = {Models and Databases | {{Django}} Documentation | {{Django}}},
-  timestamp = {2016-12-19T03:31:30Z},
-  urldate = {2016-12-19},
-  howpublished = {\url{https://docs.djangoproject.com/en/1.10/topics/db/}},
-  author = {{djangoproject}},
-  month = dec,
-  year = {2016}
+@misc{lecture-notes,
+  title = {EE4-68 Pattern Recognition Lecture Notes},
+  organization = {{ Imperial College London }},
+  timestamp = {2018-12-20T03:31:30Z},
+  urldate = {2018-12-19},
+  author = {Tae-Kyun Kim},
+  year = {2018},
 }
 
+@INPROCEEDINGS{pca-lda, 
+author={N. Zhao and W. Mio and X. Liu}, 
+booktitle={The 2011 International Joint Conference on Neural Networks}, 
+title={A hybrid PCA-LDA model for dimension reduction}, 
+year={2011}, 
+volume={}, 
+number={}, 
+pages={2184-2190}, 
+keywords={data analysis;learning (artificial intelligence);principal component analysis;hybrid {PCA-LDA} model;linear discriminant analysis;within-class scatter under projection;low-dimensional subspace;principal component analysis;discrimination performance;hybrid dimension reduction model;dimension reduction algorithm;face recognition;Principal component analysis;Data models;Training;Cost function;Vectors;Computational modeling;Training data}, 
+doi={10.1109/IJCNN.2011.6033499}, 
+ISSN={2161-4407}, 
+month={July},}
-- 
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