Coarse-grain reconfigurable architectures have been a matter of intense research in the last few years. They promise to be more adequate for computational tasks due to their better...
Reiner W. Hartenstein, Michael Herz, Thomas Hoffma...
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
In this paper, we introduce an operation that creates families of facet-defining inequalities for highdimensional infinite group problems using facet-defining inequalities of l...
In this paper, we investigate the process of searching for images of specified people in the consumer family photo domain. This domain is very different from the controlled enviro...
Andrew C. Gallagher, Madirakshi Das, Alexander C. ...