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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},}