Nominate an IEEE Fellow today!
IEEE Fellow is the highest grade of membership of the IEEE. It honors members with an outstanding record of technical achievements, contributing importantly to the advancement or application of engineering, science and technology, and bringing significant value to society.
Santa Clara Valley Chapter & Vancouver Chapter Receive the 2017 Chapter of the Year Award!
Nikos Sidiropoulos Vice President-Membership and Chair, Chapters Review Committee The IEEE Signal Processing Society Santa Clara Valley Chapter and…
Read moreOracle iSupplier for IEEE US Volunteers Expense Reimbursements
IEEE is transitioning from wire payments and checks to direct wire transfers to your bank, also known as Automated Clearing House (ACH), or…
Read moreUpcoming Webinar: CAMSAP 2017 Plenary - 13 December 2017, Dr. Nikos Sidiropoulos
Webinar Details: Wednesday, 13 December 2017 from 2:30pm - 3:30pm (New York time)
Attendee Registration Link: Register for Webinar, by Dr. Nikos Sidiropoulos
CAMSAP 2017 Plenary - Tensors and Probability: An Intriguing Union: Abstract: We reveal an interesting link between tensors and multivariate statistics. The rank of a multivariate probability tensor can be interpreted as a nonlinear measure of statistical dependence of the associated random variables.
What Should We Learn from IARPA’s Deep-Learning Challenge Seeks AI to Analyze Satellite Images
Spy satellites and their commercial cousins orbit Earth like a swarm of space paparazzi, capturing tens of terabytes of images every day. The deluge of satellite imagery leaves U.S. intelligence agencies with the world’s biggest case of FOMO—“fear of missing out”—because human analysts can sift through only so many images to spot a new nuclear enrichment facility or missiles being trucked to different locations.
What Should We Learn from Efficient Processing of Deep Neural Networks
Neural networks are a set of biologically inspired algorithms that can be used to recognize patterns. Deep neural networks (DNNs) are neural networks that have much more layers in depth than traditional neural networks.
What Should We Learn from Deep Learning for Visual Understanding
In the past decade, there has been a transformative and permanent revolution in computer vision cultivated by the reinvigorated adoption of deep learning for visual understanding tasks.
Recent Patents in Signal Processing (December 2017) – Active Contours
For our December 2017 issue, we cover recent patents granted in the area of applications of active contours.
Women in Signal Processing Directory
The IEEE Signal Processing Society is excited to announce the newest project from the Women in Signal Processing (WISP) Committee - the Women in Signal Processing Directory!
2017 Member-Driven Initiative
The Board of Governors of the IEEE Signal Processing Society (SPS) has allocated $20,000 for Member-Driven Initiatives for the 2017 calendar year.

