Program understanding is central to the development of distributed computations, from the initial coding phase, through testing and debugging, to maintenance and support. Our goal...
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
The distinctive features of interactive sound installations in public space are considered, with special attention to the rich, if undoubtedly difficult, environments in which the...
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...