Utiliza este identificador para citar o vincular este elemento: http://hdl.handle.net/10553/16240
Títulos: Learning to recognize gender using experince
Autores/as: Castrillón-Santana, Modesto 
Lorenzo Navarro, José Javier 
Freire-Obregón, David 
Déniz Suárez, Oscar
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2010
Resumen: Automatic facial analysis abilities are commonly integrated in a system by a previous off-line learning stage. In this paper we argue that a facial analysis system would improve its facial analysis capabilities based on its own experience similarly to the way a biological system, i.e. the human system, does throughout the years. The approach described, focused on gender classification, updates its knowledge according to the classification results. The presented gender experiments suggestthatthisapproachispromising,evenwhenjustashort simulationofwhatforhumanswouldtakeyearsofacquisition experience was performed.
URI: http://hdl.handle.net/10553/16240
DOI: 10.1109/ICIP.2010.5653661
Aparece en la colección:Actas de Congresos

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