Thermal effects are becoming increasingly important during integrated circuit design. Thermal characteristics influence reliability, power consumption, cooling costs, and performan...
We consider the problem of repairing a database that is inconsistent wrt a set of integrity constraints by updating numerical values. In particular, we concentrate on denial integ...
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
With aggressive reductions in feature sizes and the integration of multiple functionalities on the same die, bottlenecks due to I/O pin limitations have become a severe issue in to...
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...