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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.
Title: | An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks |
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Author/s: |
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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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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.
Item ID: | 4828 |
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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 |