The implementation of collapsed Gibbs samplers for non-parametric Bayesian models is non-trivial, requiring considerable book-keeping. Goldwater et al. (2006a) presented an approx...
Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark ...
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
With shrinking feature size and growing integration density in the Deep Sub-Micron technologies, the global buses are fast becoming the “weakest-links” in VLSI design. They ha...
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
Multimedia Information Retrieval (IR) techniques and associated systems are now numerous and justify the development of strategies and actions to objectively evaluate their capabi...