This work achieves full registration of scenes in a large area and creates visual indexes for visualization in a digital city. We explore effective mapping, indexing, and display ...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
A warehouse is a data repository containing integrated information for e cient querying and analysis. Maintaining the consistency of warehouse data is challenging, especially if t...
We consider streaming video content over an overlay network of peer nodes. Each of the nodes employs a mesh-pull mechanism to organize the download of data units from its neighbou...
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...