In this paper we describe a model of the process by which people solve problems using information visualization systems. The model was based on video analysis of forty dyads who p...
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Manual categorisation of documents is a time-consuming task that has been significantly alleviated with the deployment of automatic and machine-aided text categorisation systems. ...
Image annotation, the task of automatically generating description words for a picture, is a key component in various image search and retrieval applications. Creating image datab...
This paper describes our work in usage pattern analysis and development of a latent semantic analysis framework for interpreting multimodal user input consisting speech and pen ge...