Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
In this paper we describe our ongoing work on modelling urban encounters by extending Conway's Game of Life. We develop our model based on empirical data collected using a Ta...
In this paper we investigate targeted steering motions. Fitts' law is a very successful model to explain human targeting behavior, while the Steering law has been used to mod...
Computer aided interactive narrative has received increasing attention in recent years. Automated directorial control that manages the development of the story in the face of user ...