@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},}