Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/15077
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Díaz Cabrera, Moisés | |
| dc.contributor.author | Lorenzo Navarro, José Javier | |
| dc.contributor.author | Castrillón-Santana, Modesto | |
| dc.date.accessioned | 2015-11-24T13:47:36Z | |
| dc.date.accessioned | 2018-02-21T14:33:16Z | - |
| dc.date.available | 2015-11-24T13:47:36Z | |
| dc.date.available | 2018-02-21T14:33:16Z | - |
| dc.date.issued | 2012 | es |
| dc.identifier.uri | http://hdl.handle.net/10553/15077 | |
| dc.description.abstract | Gender recognition has achieved impressive results based on the face appearance in controlled datasets. Its application in the wild and large datasets is still a challenging task for researchers. In this paper, we make use of classical techniques to analyze their performance in controlled and uncontrolled condition respectively with the LFW and MORPH datasets. For both sets the benchmarking protocol follows the 5-fold cross-validation proposed by the BEFIT challenge. | es |
| dc.language | eng | es |
| dc.source | VI Jornadas de Reconocimiento Biométrico de Personas (JRBP12). Las Palmas de Gran Canaria. 2012 | es |
| dc.subject | 120304 Inteligencia artificial | es |
| dc.subject.other | Gender recognition | es |
| dc.subject.other | BEFIT | es |
| dc.subject.other | Classiffier fusion | es |
| dc.subject.other | LFW | es |
| dc.subject.other | MORPH | es |
| dc.title | A performance based study on gender recognition in large datasets | es |
| dc.type | info:eu-repo/semantics/conferenceObject | es |
| dc.type | ConferenceObject | es |
| dc.identifier.absysnet | 716446 | |
| dc.identifier.crisid | -;1729;2806 | |
| dc.investigacion | Ingeniería y Arquitectura | es |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | es |
| dc.type2 | Actas de congresos | es |
| dc.identifier.ulpgc | Sí | es |
| item.grantfulltext | open | - |
| item.fulltext | Con texto completo | - |
| crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
| crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
| crisitem.author.dept | Departamento de Física | - |
| crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional | - |
| crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
| crisitem.author.dept | Departamento de Informática y Sistemas | - |
| crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional | - |
| crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
| crisitem.author.dept | Departamento de Informática y Sistemas | - |
| crisitem.author.orcid | 0000-0003-3878-3867 | - |
| crisitem.author.orcid | 0000-0002-2834-2067 | - |
| crisitem.author.orcid | 0000-0002-8673-2725 | - |
| crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
| crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
| crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
| crisitem.author.fullName | Díaz Cabrera, Moisés | - |
| crisitem.author.fullName | Lorenzo Navarro, José Javier | - |
| crisitem.author.fullName | Castrillón Santana, Modesto Fernando | - |
| Appears in Collections: | Actas de congresos | |
Artículo
Adobe PDF (424,44 kB)
Page view(s)
79
checked on Jun 29, 2024
Download(s)
27
checked on Jun 29, 2024
Google ScholarTM
Check
Share
Export metadata
This item is licensed under a Creative Commons License
