A large body of research in supervised learning deals with the analysis of single-label data,
where training examples are associated with a single label λ from a set of disjoint labels L …

Nowadays, more and more images are available. However, to find a required image for an
ordinary user is a challenging task. Large amount of researches on image retrieval have …

Multiple instance learning (MIL) is a form of weakly supervised learning where training
instances are arranged in sets, called bags, and a label is provided for the entire bag. This …

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 …

The capability of recognizing pedestrian attributes, such as gender and clothing style, at far
distance, is of practical interest in far-view surveillance scenarios where face and body close …

In general image recognition problems, discriminative information often lies in local image
patches. For example, most human identity information exists in the image patches …

Partial multi-label learning (PML) deals with problems where each instance is assigned with
a candidate label set, which contains multiple relevant labels and some noisy labels. Recent …

Labeling a histopathology image as having cancerous regions or not is a critical task in
cancer diagnosis; it is also clinically important to segment the cancer tissues and cluster …

Although field-collected recordings typically contain multiple simultaneously vocalizing birds
of different species, acoustic species classification in this setting has received little study so …

The rapid growth of online social media in the form of collaborativelycreated content
presents new opportunities and challenges to both producers and consumers of information …