Responding to computer-initiated notifications requires a shift in attention that disrupts the flow of work. The degree of cost associated with resuming the original task following...
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
Software evolution and reuse is more likely to receive higher payoff if high-level artifacts—such as architectures and designs—can be reused and can guide low-level component ...
Sparse signal recovery algorithms utilizing multiple measurement vectors (MMVs) are known to have better performance compared to the single measurement vector case. However, curre...
In this paper we study averaging algorithms and coverage control laws in a unified light. First, we characterize the convergence properties of averaging algorithms over acyclic di...