This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
As our ability to measure the world around us improves, we are quickly generating massive quantities of high-dimensional, spatial-temporal data. In this paper, we concern ourselve...
It is not uncommon for modern systems to be composed of a variety of interacting services, running across multiple machines in such a way that most developers do not really unders...
Discriminatory information about person identity is multimodal. Yet, most person recognition systems are unimodal, e.g. the use of facial appearance. With a view to exploiting the ...
Niall A. Fox, Ralph Gross, Jeffrey F. Cohn, Richar...
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...