@InProceedings{FilisbinoGiraThom:2013:RaMeTe,
author = "Filisbino, Tiene Andre and Giraldi, Antonio Giraldi and Thomaz,
Carlos Eduardo",
affiliation = "{National Laboratory for Scientific Computing} and {National
Laboratory for Scientific Computing} and {Department of Electrical
Engineering FEI}",
title = "Ranking Methods for Tensor Components Analysis and their
Application to Face Images",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Dimensionality Reduction, Tensor Subspace Learning, CSA, Face
Image Analysis.",
abstract = "Higher order tensors have been applied to model multidimensional
image databases for subsequent tensor decomposition and
dimensionality reduction. In this paper we address the problem of
ranking tensor components in the context of the concurrent
subspace analysis (CSA) technique following two distinct
approaches: (a) Estimating the covariance structure of the
database; (b) Computing discriminant weights through separating
hyperplanes, to select the most discriminant CSA tensor
components. The former follows a ranking method based on the
covariance structure of each subspace in the CSA framework while
the latter addresses the problem through the discriminant
principal component analysis methodology. Both approaches are
applied and compared in a gender classification task performed
using the FEI face database. Our experimental results highlight
the low dimensional data representation of both approaches, while
allowing robust discriminant reconstruction and interpretation of
the sample groups and high recognition rates.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.50",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.50",
language = "en",
ibi = "8JMKD3MGPBW34M/3EE5MJ5",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EE5MJ5",
targetfile = "Sibgrapi_2013.pdf",
urlaccessdate = "2024, May 02"
}