In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
A stochastic model is formulated and analyzed to study the advancements of messages under greedy routing in a sensor network with a power-saving scheme. The aim of this model is g...
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Volumetric effects such as beams of light through participating media are an important component in the appearance of the natural world. Many such effects can be faithfully modele...
Ilya Baran, Jiawen Chen, Jonathan Ragan-Kelley, Fr...
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...