We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Past research on probing-based network monitoring provides solutions based on preplanned probing which is computationally expensive, is less accurate, and involves a large manageme...
While genomic sequencing projects have proved an abundant source of information for biological studies ranging from the molecular to the ecological in scale, much of the informati...
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, ...
— Data dissemination is an indispensible protocol component for the emerging large-scale sensor networks. In this paper, we propose a secure data dissemination protocol that enha...
Hao Yang, Starsky H. Y. Wong, Songwu Lu, Lixia Zha...
Recovering the pose of a person from single images is a challenging problem. This paper discusses a bottom-up approach that uses local image features to estimate human upper body p...