@inproceedings{3161cc76d73c48f0a7fdb740c127ee59,
title = "Dimensionality reduction for semi-supervised face recognition",
abstract = "A dimensionality reduction technique is presented for semi-supervised face recognition where image data are mapped into a low dimensional space with a spectral method. A mapping of learning data is generalized to a new datum which is classified in the low dimensional space with the nearest neighbor rule. The same generalization is also devised for regularized regression methods which work in the original space without dimensionality reduction. It is shown with experiments that the spectral mapping method outperforms the regularized regression. A modification scheme for data similarity matrices on the basis of label information and a simple selection rule for data to be labeled are also devised.",
author = "Weiwei Du and Kohei Inoue and Kiichi Urahama",
year = "2006",
doi = "10.1007/11540007_1",
language = "English",
isbn = "9783540283317",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1--10",
booktitle = "Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings",
address = "Germany",
note = "2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 ; Conference date: 27-08-2005 Through 29-08-2005",
}