diff options
author | Vasil Zlatanov <v@skozl.com> | 2018-11-20 12:26:20 +0000 |
---|---|---|
committer | Vasil Zlatanov <v@skozl.com> | 2018-11-20 12:26:20 +0000 |
commit | 40bff320aacdda8d577a7ebd9a74aeae45523ed8 (patch) | |
tree | c26c5691e705bb10f6b6c2eaf78ab252048e265c /report/bibliography.bib | |
parent | fcc4990e364ab0df19cec513cda90f3f49e2efae (diff) | |
download | vz215_np1915-40bff320aacdda8d577a7ebd9a74aeae45523ed8.tar.gz vz215_np1915-40bff320aacdda8d577a7ebd9a74aeae45523ed8.tar.bz2 vz215_np1915-40bff320aacdda8d577a7ebd9a74aeae45523ed8.zip |
Add references (and minor grammer
Diffstat (limited to 'report/bibliography.bib')
-rw-r--r-- | report/bibliography.bib | 27 |
1 files changed, 19 insertions, 8 deletions
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},} |