@InProceedings{ThomazGill:2005:ApFaRe,
author = "Thomaz, Carlos Eduardo and Gillies, Duncan Fyfe",
affiliation = "Centro Universitario da FEI, Sao Paulo, Brazil and Imperial
College, London, UK",
title = "A maximum uncertainty LDA-based approach for limited sample size
problems - with application to face recognition",
booktitle = "Proceedings...",
year = "2005",
editor = "Rodrigues, Maria Andr?ia Formico and Frery, Alejandro C?sar",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "LDA, maximum uncertainty LDA, limited sample size, face
recognition.",
abstract = "A critical issue of applying Linear Discriminant Analysis (LDA) is
both the singularity and instability of the within-class scatter
matrix. In practice, particularly in image recognition
applications such as face recognition, there are often a large
number of pixels or pre-processed features available, but the
total number of training patterns is limited and commonly less
than the dimension of the feature space. In this paper, a maximum
uncertainty LDA-based method is proposed. It is based on a
straightforward stabilisation approach for the within-class
scatter matrix. In order to evaluate its effectiveness,
experiments on face recognition using the well-known ORL and FERET
face databases were carried out and compared with other LDA-based
methods. The results indicate that our method improves the LDA
classification performance when the within-class scatter matrix is
not only singular but also poorly estimated, with or without a
Principal Component Analysis intermediate step and using less
linear discriminant features.",
conference-location = "Natal, RN, Brazil",
conference-year = "9-12 Oct. 2005",
doi = "10.1109/SIBGRAPI.2005.6",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.6",
language = "en",
ibi = "6qtX3pFwXQZeBBx/GEG3a",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GEG3a",
targetfile = "thomazc_mlda.pdf",
urlaccessdate = "2024, May 03"
}