In this paper we propose a novel hierarchical feature composition and selection model used
in facial age estimation. In recent years, hierarchical architectures have been shown to …

Apparent age estimation is a newly proposed and under-studied problem of predicting the
age that someone" looks" rather than their actual age. It has applications in many areas …

The huge data resource on the Web provides us with an emerging chance to solve the lack
of training sample problem that lasting for years in facial age estimation. We show that the …

Age estimation based on machine learning has received lots of attention. Traditional age
estimation mechanism focuses age error ignoring the deviation between the estimated age …

Age estimation can obtain biological age which is helpful for diagnosis of healthy status and
disease. The current age estimation methods do not consider the deep relationships of …

Face age estimation is a challenging problem due to the variation of craniofacial growth,
skin texture, gender and race. With recent growth in face age estimation research, wrinkles …

Machine-learning-based age estimation has received lots of attention. Traditional age
estimation mechanism focuses estimation age error, but ignores that there is a deviation …