An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks

He, Li, Buenaposada Biencinto, José Miguel and Baumela Molina, Luis ORCID: https://orcid.org/0000-0001-6910-4359 (2008). An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks. In: "19th International Conference on Pattern Recognition, ICPR 2008", 08/12/2008-11/12/2008, Florida, EEUU. ISBN 978-1-4244-2174-9. https://doi.org/10.1109/ICPR.2008.4761731.

Description

Title: An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: 19th International Conference on Pattern Recognition, ICPR 2008
Event Dates: 08/12/2008-11/12/2008
Event Location: Florida, EEUU
Title of Book: Proceedings of the 19th International Conference on Pattern Recognition, ICPR 2008
Date: 2008
ISBN: 978-1-4244-2174-9
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dimensional manifolds. In this paper we revisit various dimensionality reduction algorithms using a graph-based paradigm. We compare eight dimensionality reduction algorithms on a facial expression recognition task. For this task, experimental results show that although Linear Discriminant Analysis (LDA)is the simplest and oldest supervised approach, its results are comparable to more flexible recent algorithms.LDA, on the other hand, is much simpler to tune, since it only depends on one parameter.

More information

Item ID: 4828
DC Identifier: https://oa.upm.es/4828/
OAI Identifier: oai:oa.upm.es:4828
DOI: 10.1109/ICPR.2008.4761731
Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp...
Deposited by: Memoria Investigacion
Deposited on: 05 Nov 2010 12:58
Last Modified: 20 Apr 2016 13:53
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