Recent Contest in Signal Processing and Machine Learning

You are here

Inside Signal Processing Newsletter Home Page

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.

News and Resources for Members of the IEEE Signal Processing Society

Recent Contest in Signal Processing and Machine Learning

 Recent years have seen a rapid increase in the number of machine learning and signal processing contests. Some of those recently concluded ones include:   

Sponsored from the IEEE Signal Processing Society, there is a Kaggle contest focusing on identifying the camera that took

an image. Finding footage of a crime caught on tape is an investigator's dream. But even with crystal clear, damning evidence,

one critical question always remains–is the footage real? Today, one way to help authenticate footage is to identify the camera

that the image was taken with. Forgeries often require splicing together content from two different cameras. But, unfortunately,

the most common way to do this now is using image metadata, which can be easily falsified itself. However, this is a problem

yet to be sufficiently solved. For this competition, the IEEE Signal Processing Society is challenging you to build an algorithm

that identifies which camera model captured an image by using traces intrinsically left in the image. Helping to solve this

problem would have a big impact on the verification of evidence used in criminal and civil trials and even news reporting.


A currently running Kaggle contest requires participants to classify floating targets as iceberg or not.  Drifting icebergs present

threats to navigation and activities in areas such as offshore of the East Coast of Canada. Currently, many institutions and

companies use aerial reconnaissance and shore-based support to monitor environmental conditions and assess risks from

icebergs. However, in remote areas with particularly harsh weather, these methods are not feasible, and the only viable

monitoring option is via satellite. In this competition, you’re challenged to build an algorithm that automatically identifies if a

remotely sensed target is a ship or iceberg. Improvements made will help drive the costs down for maintaining safe working




Table of Contents:

New Books

SPS on Twitter

  • DEADLINE EXTENDED: The 2023 IEEE International Workshop on Machine Learning for Signal Processing is now accepting…
  • ONE MONTH OUT! We are celebrating the inaugural SPS Day on 2 June, honoring the date the Society was established in…
  • The new SPS Scholarship Program welcomes applications from students interested in pursuing signal processing educat…
  • CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now seeking submissions for a Special…
  • Test your knowledge of signal processing history with our April trivia! Our 75th anniversary celebration continues:…

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel