DSI Webinar

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

DSI Webinar

In many emerging applications, it is of paramount interest to learn hidden parameters from data. For example, self-driving cars may use onboard cameras to identify pedestrians, highway lanes, or traffic signs in various light and weather conditions.

Crowdsourcing has emerged as a powerful paradigm for tackling various machine learning, data mining, and data science tasks, by enlisting inexpensive crowds of human workers, or annotators, to accomplish learning and inference tasks.

Many important application domains generate distributed collections of heterogeneous local datasets. These local datasets are related via an intrinsic network structure that arises from domain-specific notions of similarity between local datasets. Networked federated learning aims at learning a tailored local model for each local dataset. 

SPS on Twitter

  • The SPS Webinar Series continues of 29 March when Dr. Mauricio Delbracio presents "A Walk Through Image Deblurring:… https://t.co/H1dNvuFgRv
  • COMING SOON: Join us on 9 March when Mr. Sayantan Dutta presents "Novel Prospects of Image Restoration Inspired by… https://t.co/LVYqeWEmLg
  • Happy from SPS! Thank you for doing your part towards furnishing a fairer, more equitable world for your c… https://t.co/63tIxNQQaR
  • There's still time to register your team for the 2023 IEEE Signal Processing Cup! Visit our website and register no… https://t.co/lgOQUjNPbe
  • There is still time to join the 5-Minute Video Clip Contest! Visit our website to learn more and submit your videos… https://t.co/aVUNYfTEF2

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar