Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
In this paper, we propose a method for jointly computing optical flow and segmenting video while accounting for mixed pixels (matting). Our method is based on statistical modelin...
C. Lawrence Zitnick, Nebojsa Jojic, Sing Bing Kang
Our focus is on efficient estimation of tail probabilities of sums of correlated lognormals. This problem is motivated by the tail analysis of portfolios of assets driven by corre...
Jose Blanchet, Sandeep Juneja, Leonardo Rojas-Nand...
In this paper we consider a cooperative network that is trying to reach binary consensus over fading channels. We first characterize the impact of fading on network consensus by up...
: Much of the current theory of networked control systems uses simple point-to-point communiodels as an abstraction of the underlying network. As a result, the controller has very ...
Phoebus Chen, Chithrupa Ramesh, Karl Henrik Johans...