One useful feature that is missing from today’s database systems is an explain capability that enables users to seek clarifications on unexpected query results. There are two t...
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
Many of the qualities that characterize geographic regions are vague and granular in their nature. In many quality-based classification and delineation systems for geographic regi...
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...