Distributed estimation fusion is concerned with the combination of local estimates from multiple distributed sensors to produce a fused result. In this paper, we characterize local estimates as posterior probability densities, and assume that they all belong to a parametric family. Our starting point is to consider this family as a Riemannian manifold by introducing the Fisher information metric.
Welcome to the IEEE Speech and Language Processing Technical Committee Newsletter!
Attentive readers will notice that it has been longer than usual since the last edition of the newsletter. I apologize and am totally responsible for the mistake. In penance, we have an extra large edition this time.
Following on the success of the bi-annual SLT workshop over the past decade, the IEEE Speech and Language Technical Committee invites proposals to host the 2020 IEEE Workshop on Spoken Language Technology (SLT 2020).
The 32nd Conference on Neural Information Processing Systems took place at the convention center of Montreal, Canada, from Dec. 3 to Dec. 8, 2018. This year, the acronym of the conference changed from NIPS to NeurIPS.
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