Abstract—Capacity scaling laws offer fundamental understanding on the trend of user throughput behavior when the network size increases. Since the seminal work of Gupta and Kumar...
Canming Jiang, Yi Shi, Y. Thomas Hou, Wenjing Lou,...
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing applications. Most computational models assume "categorical perception"...
Diane J. Schiano, Sheryl M. Ehrlich, Kyle Sheridan
Reputation systems have been popular in estimating the trustworthiness and predicting the future behavior of nodes in a large-scale distributed system where nodes may transact wit...
Real-time systems have reached a level of complexity beyond the scaling capability of the low-level or restricted languages traditionally used for real-time programming. While Met...
David F. Bacon, Perry Cheng, David Grove, Michael ...
Abstract. Imitation learning is a powerful approach to humanoid behavior generation, however, the most existing methods assume the availability of the information on the internal s...