As a promising area in machine learning, multi-task learning (MTL) aims to improve the
performance of multiple related learning tasks by leveraging useful information among them …

Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to
leverage useful information contained in multiple related tasks to help improve the …

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 …

In this paper we propose a deep learning solution to age estimation from a single face
image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest …

Understanding shadows from a single image consists of two types of task in previous
studies, containing shadow detection and shadow removal. In this paper, we present a multi …

Fairness-aware learning is increasingly important in data mining. Discrimination prevention
aims to prevent discrimination in the training data before it is used to conduct predictive …

A number of computer vision problems such as human age estimation, crowd density
estimation and body/face pose (view angle) estimation can be formulated as a regression …

Face verification remains a challenging problem in very complex conditions with large
variations such as pose, illumination, expression, and occlusions. This problemis …

One of the main difficulties in facial age estimation is that the learning algorithms cannot
expect sufficient and complete training data. Fortunately, the faces at close ages look quite …

Supervised machine learning techniques have already been widely studied and applied to
various real-world applications. However, most existing supervised algorithms work well …