This paper presents an accelerator for k-th nearest neighbor thinning, a run time intensive algorithmic kernel used in recent multi-objective optimizers. We discuss the thinning al...
Tobias Schumacher, Robert Meiche, Paul Kaufmann, E...
In this paper, we focus on the method to explore a different type of auditory progress bar by analyzing the characteristics of the visual progress bar and contexts of auditory appl...
This paper reports on five different models of command and control. Four different models are reviewed: a process model, a contextual control model, a decision ladder model and a ...
Neville A. Stanton, Guy H. Walker, Daniel P. Jenki...
In this paper, we present a simple yet efficient automatic system to translate biomedical terms. It mainly relies on a machine learning approach able to infer rewriting rules from...
This paper takes a critical look at the features used in the semantic role tagging literature and show that the information in the input, generally a syntactic parse tree, has yet...