Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
It has been postulated that existing species have been linked in the past in a way that can be described using an additive tree structure. Any such tree structure reflecting speci...
In this paper, we consider wide-area backbone networks where multiple connection-oriented guaranteed services with differing bandwidth/flow requirements are offered. Specifically,...
This contribution addresses the problem of obtaining 3D models from image sequences. A 3D surface description of the scene is extracted completely from a set of uncalibrated camer...
One of the major limitations of relational learning is due to the complexity of verifying hypotheses on examples. In this paper we investigate this task in light of recent publishe...