Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Many data sets exist that contain both geospatial and temporal elements. Within such data sets, it can be difficult to determine how the data have changed over spatial and tempor...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...
We describe a method for simultaneously recovering the trajectory of a target and the external calibration parameters of non-overlapping cameras in a multi-camera system. Each cam...
In this paper, we present a system for the temporal segmentation, summarization, and browsing of the Echocardiogram videos. Echocardiogram videos are video sequences produced by t...
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...