2016
A partial least squares based ranker for fast and accurate age estimation
ICASSP 2016accepted
Facial age estimation is challenging due to complex dynamics in aging process, which render metric regression methods unfavorable. Rankers show better performance by exploiting the ordinal nature of ages. The difficulty of designing a ranker is that each binary classifier of a ranker has to be train…