We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
This paper reports on a study investigating the effect of single-media and multimedia presentations on the resulting knowledge. First, this study investigated the stability of est...
Our research is aimed at a systematic investigation of phenomena in the nexus of culture, technology and learning. The basic premise of our research is that social affordances of t...