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An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks
Cita
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.
En: "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.
ORCID: https://orcid.org/0000-0001-6910-4359
(2008).
An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks.
En: "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.
Descripción
| Título: | An Empirical Comparison of Graph-based Dimensionality Reduction Algorithms on Facial Expression Recognition Tasks |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 19th International Conference on Pattern Recognition, ICPR 2008 |
| Fechas del Evento: | 08/12/2008-11/12/2008 |
| Lugar del Evento: | Florida, EEUU |
| Título del Libro: | Proceedings of the 19th International Conference on Pattern Recognition, ICPR 2008 |
| Fecha: | 2008 |
| ISBN: | 978-1-4244-2174-9 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 4828 |
|---|---|
| Identificador DC: | https://oa.upm.es/4828/ |
| Identificador OAI: | oai:oa.upm.es:4828 |
| Identificador DOI: | 10.1109/ICPR.2008.4761731 |
| URL Oficial: | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 05 Nov 2010 12:58 |
| Ultima Modificación: | 20 Abr 2016 13:53 |
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