Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Recent studies suggest that the mammalian genomes can be subdivided in segments within which there is limited haplotype diversity. Understanding the distribution and structure of ...
Jeremy W. Wang, Kyle J. Moore, Qi Zhang, Fernando ...
Abstract-- In this paper we consider the problem of monitoring a known set of stationary features (or locations of interest) in an environment. To observe a feature, a robot must v...
The concept of effective complexity of an object as the minimal description length of its regularities has been initiated by Gell-Mann and Lloyd. The regularities are modeled by m...
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...