—Urban sensing where mobile users continuously gather, process, and share location-sensitive sensor data (e.g., street images, road condition, traffic flow) is emerging as a ne...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
This paper presents an approach to integrate publish/subscribe semantics with on-demand multicast in wireless ad hoc networks, providing dynamic group communication with fine-gra...
Programmers of large-scale trusted systems need tools to simplify tasks such as replicating services or data. Group communication systems achieve this via various flavors of relia...