Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …

Alzheimer's disease (AD) is a progressive neurodegenerative disease that often grows in
middle-aged and elderly people with the gradual loss of cognitive ability. Presently, there is …

In this paper, we formulate object tracking in a particle filter framework as a structured multi-
task sparse learning problem, which we denote as Structured Multi-Task Tracking (S-MTT) …

In this paper, we present a new idea to analyze facial expression by exploring some
common and specific information among different expressions. Inspired by the observation …

The accurate diagnosis of Alzheimer's disease (AD) and its early stage, eg, mild cognitive
impairment (MCI), is essential for timely treatment or possible intervention to slow down AD …

We address the problem of visual classification with multiple features and/or multiple
instances. Motivated by the recent success of multitask joint covariate selection, we …

In this paper, we propose a multi-task correlation particle filter (MCPF) for robust visual
tracking. We first present the multi-task correlation filter (MCF) that takes the …

Multi-modality based classification methods are superior to the single modality based
approaches for the automatic diagnosis of the Alzheimer's disease (AD) and mild cognitive …

The face is one of the most powerful channel of non-verbal communication. The most
commonly used taxonomy to describe facial behaviour is the Facial Action Coding System …

Visual tracking using multiple features has been proved as a robust approach because
features could complement each other. Since different types of variations such as …