Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
In geographical epidemiology it is often required to produce a map of the risk of disease over a study region, a disease map. This paper reviews a variety of approaches to produce...
This paper presents an online personalised non-photorealistic rendering (NPR) technique for 3D models generated from interactively sketched input. This technique has been integrat...
Daychyi Ku, Sheng Feng Qin, David K. Wright, CuiXi...
Since the initial work on spatial statistical models developed in Bhattacharyya, Khalil and Richardson (1996), Basu and Reinsel (1993), Güyon (1995), Martin (1979, 1990, 1996), Ja...
This paper examines the problem of detecting changes in a 3-d scene from a sequence of images, taken by cameras with arbitrary but known pose. No prior knowledge of the state of n...