For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
In this paper, we present a hybrid method for calibration of an endoscope and its registration with an active optical tracker. Practically, both operations are done simultaneously...
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Abstract. The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks...
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De R...
Large scale active measurement of the Internet requires appropriate software support. The better tools that we have for executing consistent and systematic measurements, the more ...