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+@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},}