We present methods for inferring the cost of interrupting users based on multiple streams of events including information generated by interactions with computing devices, visual ...
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
In this paper, we propose a fast and robust method for tracking a user’s hand and multiple fingertips; we then demonstrate gesture recognition based on measured fingertip traj...
Many Physics experiments today generate large volumes of data. That data is then processed in a variety of ways in order to achieve the understanding of fundamental physical pheno...
Ewa Deelman, Carl Kesselman, Gaurang Mehta, Leila ...