We consider the problem of maximizing the lifetime of a given multicast connection in a wireless network of energyconstrained (e.g. battery-operated) nodes, by choosing ideal tran...
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Recent local state-of-the-art stereo algorithms based on variable cost aggregation strategies allow for inferring disparity maps comparable to those yielded by algorithms based on ...
Stefano Mattoccia, Simone Giardino, Andrea Gambini
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
The growing nature of databases, and the flexibility inherent in the SQL query language that allows arbitrarily complex formulations, can result in queries that take inordinate am...