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10 years of news and resources for members of the IEEE Signal Processing Society
Individual feature articles and special issues are two major mechanisms of full-length tutorial surveys of IEEE Signal Processing Magazine (SPM). Since the May 2016 feature article cluster by Jane Wang et al. on brain signal analytics, SPM’s current and past editors-in-chief and their teams have been exploring a different way to complement this existing structure—a feature article cluster (or mini special issue) that allows for a set of three to five solicited articles on a current topic, instead of just one (feature article) or ten to 11 (a special issue). The special issue of SPM in July 2018 offers a feature article cluster on exploiting structure in data analytics: low-rank and sparse structures and is the second such cluster. It is the first in SPM’s planned yearly series on data science and includes the following four articles:
“Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation” by Chen and Chi
“Robust Subspace Learning” by Vaswani et al.
“Correlation-Awareness in Low-Rank Models” by Pal
“Theoretical Foundations of Deep Learning via Sparse Representations” by Papyan et al.
|Series to Highlight Women in Signal Processing: Sheila S. Hemami||1 November 2019|
|Inactive Chapters||1 November 2019|
|Enhancements added to OU Analytics - Geographic Map||1 November 2019|
|Redesigned OU Monthly Statistics Now Available||1 November 2019|
|OU Analytics - Latest Enhancement||1 November 2019|
|OU Analytics - A Valuable Resource for Volunteers||1 November 2019|
|Call for Nominations: Fellow Evaluation Committee - Extended to November 22||22 November 2019|
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