Listar INIT_Articles por fuente "Image and Vision Computing, 2014, vol. 32, no 1"
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Face gender classification: A statistical study when neutral and distorted faces are combined for training and testing purposes
Elsevier (2014-01)This paper presents a thorough study of gender classification methodologies performing on neutral, expressive and partially occluded faces, when they are used in all possible arrangements of training and testing roles. A ...