This paper presents our studies of automatic speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. W...
This paper describes a software toolkit for the interactive display and analysis of automatically extracted or manually derived annotation features of visual and audio data. It ha...
We show how to combine a general purpose type system for an existing language with support for programming with binders and contexts by refining the type system of ML with a rest...
In this paper we propose an approach for action recognition based on a vocabulary forest of local motionappearance features. Large numbers of features with associated motion vecto...
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...