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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},}
|
