The aim of multi-output learning is to simultaneously predict multiple outputs given an input.
It is an important learning problem for decision-making since making decisions in the real …

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 …

Humans inevitably develop a sense of the relationships between objects, some of which are
based on their appearance. Some pairs of objects might be seen as being alternatives to …

In this work, we investigate the problem of learning knowledge from the massive community-
contributed images with rich weakly-supervised context information, which can benefit …

Due to the recent technology development, the multimedia complexity is noticeably
increased and new research areas are opened relying on similar multimedia content …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

The problem of joint modeling the text and image components of multimedia documents is
studied. The text component is represented as a sample from a hidden topic model, learned …

Multilabel image annotation is one of the most important challenges in computer vision with
many real-world applications. While existing work usually use conventional visual features …

The multi-label classification problem has generated significant interest in recent years.
However, existing approaches do not adequately address two key challenges:(a) scaling up …

This paper investigates the problem of modeling Internet images and associated text or tags
for tasks such as image-to-image search, tag-to-image search, and image-to-tag search …