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Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Linear regression models contaminated by Gaussian noise (inlier) and possibly unbounded sparse outliers are common in many signal processing applications. Sparse recovery inspired robust regression (SRIRR) techniques are shown to deliver high-quality estimation performance in such regression models. Unfortunately, most SRIRR techniques assume a priori knowledge of noise statistics like inlier noise variance or outlier statistics like number of outliers.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
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.
Section: Events
Submission Deadline: February 15, 2019
Call for Proposals Document
Section: Publications & Resources
The IEEE SPS congratulates the following SPS members who will receive the Society’s prestigious awards during ICASSP 2019 in Brighton, UK.
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Section: Community & Involvement
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.
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Section: Community & Involvement
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).
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Section: Community & Involvement
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Section: Community & Involvement
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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Section: Community & Involvement
NeurIPS Workshop
Section: Community & Involvement
ScopeThe purpose of the Computational Imaging Technical Committee (CI TC) is to promote activities within the technical area of computational imaging, distinguished from image processing by the role of computation in the image formation process. The technical scope includes those areas listed under all EDICS categories of the IEEE Transactions on Computational Imaging and under the EDICS subcategory Computational Imaging of IEEE Transactions on Image Processing.
