Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
We are interested in applying and extending existing frameworks for combining output modalities for adaptations of multimodal content on heterogeneous devices based on user and de...
Songsak Channarukul, Susan Weber McRoy, Syed S. Al...
Abstract. We investigate the application of a Monte Carlo localization filter to the problem of combining local and global observations of a small, off-the-shelf quadruped domest...
We build upon a constrained, lab-based Sign Language recognition system with the goal of making it a mobile assistive technology. We examine using multiple sensors for disambiguat...
Helene Brashear, Thad Starner, Paul Lukowicz, Holg...
Web services are increasingly attracting attention for their ability to provide standard interfaces to heterogeneous distributed services. Through these standard interfaces, it is...