We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
We describe a low-complexity scheme for lossless compression of short text messages. The method uses arithmetic coding and a specific statistical context model for prediction of s...
Media-rich ubiquitous distributed media processing workflow systems continuously sense users’ needs, status, and the context, filter and fuse a multitude of real-time media da...
We define the use of Bayesian Networks for fault detection in the perception mechanism of context-aware ubiquitous systems. This paper1 describes the complete working of such a f...
This paper describes a complete system architecture integrating planning into a two-armed robotic workcell. The system is comprised of four major components: user interface, plann...