We present CRF-Gradient, a self-healing gradient algorithm that provably reconfigures in O(diameter) time. Selfhealing gradients are a frequently used building block for distribut...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
In this paper, we propose a fast and optimal solution for block motion estimation based on an adaptive multilevel successive elimination algorithm. This algorithm is accomplished b...
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...