Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...
In today’s dynamic computing environments, the available resources and even underlying computation engine can change during the execution of a program. Additionally, current tre...
Apala Guha, Jason Hiser, Naveen Kumar, Jing Yang, ...
In this paper, we consider the problem of color restoration using statistical priors. This is applied to color recovery for underwater images, using an energy minimization formulat...
We present our work on creating a team of two humanoid robot commentators for soccer games of teams of four AIBO robots. The two humanoids stand on the side lines of the field, aut...
Manuela M. Veloso, Nicholas Armstrong-Crews, Sonia...
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...