This paper gives an overview of the cutting-edge approaches that perform facial cue
analysis in the healthcare area. The document is not limited to global face analysis but it …

A novel ordinal regression algorithm, called moving window regression (MWR), is proposed
in this paper. First, we propose the notion of relative rank (rho-rank), which is a new order …

Age estimation of face images is a crucial task with various practical applications in areas
such as video surveillance and Internet access control. While deep learning-based age …

Nonlinear regression has been extensively employed in many computer vision problems
(eg, crowd counting, age estimation, affective computing). Under the umbrella of deep …

In this paper, we propose a progressive margin loss (PML) approach for unconstrained
facial age classification. Conventional methods make strong assumption on that each class …

Neural networks (NNs) and decision trees (DTs) are both popular models of machine
learning, yet coming with mutually exclusive advantages and limitations. To bring the best of …

Decision trees in random forests use a single feature in non-leaf nodes to split the data.
Such splitting results in axis-parallel decision boundaries which may fail to exploit the …

Age estimation is an important yet very challenging problem in computer vision. Existing
methods for age estimation usually apply a divide-and-conquer strategy to deal with …

Uncertainty is the only certainty there is. Modeling data uncertainty is essential for
regression, especially in unconstrained settings. Traditionally the direct regression …

Addressing the positioning problem of a mobile robot remains challenging to date despite
many years of research. Indoor robot positioning strategies developed in the literature either …