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Introducing the SPS Resource Center

In 2013, the IEEE Signal Processing Society (SPS) introduced SigView – our online portal of video tutorials in emerging signal processing topics. Over three years, SigView amassed more than 70 videos of technical tutorials, conference recordings, presentations, and more, setting a standard for quality, vetted , and timely signal processing resources. As the Society’s membership grows and evolves, so should its products and services. To that end, we introduce SPS’s newest member benefit – the SPS Resource Center.

32 Signal Processing Society Members Elevated to Senior Member

The IEEE Signal Processing Society (SPS) is honored to announce the elevation of 32 of its members to the grade of IEEE Senior Member. These members have demonstrated outstanding professional performance, exhibited professional maturity through long-term experience, and established themselves as leaders in their respective IEEE-designated fields of interest. Senior Member is the only membership grade that is eligible to be nominated for IEEE Fellow. The new Senior Members of the IEEE Signal Processing Society are:

 

ICASSP 2017 - Call for Special Session Proposals

2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) New Orleans, USA March 5-9, 2017 http://www.ieee-icassp2017.org/ CALL FOR SPECIAL-SESSION PROPOSALS The ICASSP 2017 technical program will include Special Sessions. Their objective is to complement the regular program with new or emerging topics of particular interest to the signal processing community.

Simek, Kyle LouisView Profile. (The University of Arizona), “Branching Gaussian process models for computer vision” (2016)

Simek, Kyle LouisView Profile. (The University of Arizona), “Branching Gaussian process models for computer vision” (2016) Advisor: Jacobus Kobus Barnard Bayesian methods provide a principled approach to some of the hardest problems in computer vision—low signal-to-noise ratios, ill-posed problems, and problems with missing data. This dissertation applies Bayesian modeling to infer multidimensional continuous manifolds (e.g., curves, surfaces) from image data using Gaussian process priors.

Update from IFS-TC

The Information Forensics and Security Technical Committee (IFS TC) reports on a special issue on spoofing and countermeasures for automatic speaker verification and a call for tutorials and special sessions at the WIFS 2016