Downstream utility is a critical success factor for usability evaluation methods, in terms of the extent to which they can deliver value. In this paper we argue that field methods...
Characters are in an important role in many games. A good player character is likely to leave good lasting impression about the game. It has been argued that creating the personal...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
This paper discusses the ontological status of remote sensing images, from a GIScience perspective. We argue that images have a dual nature—they are fields at the measurement lev...
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...