Search results

Section: Publications & Resources

The IEEE Signal Processing Society (SPS) is happy to announce that Prof. Yonggang Wen will be the new Editor-in-Chief (EIC) of the IEEE Transactions on Multimedia (T-MM). His three-year term will be from January 2023 to December 2025.

Section: Publications & Resources

Over the past twenty years, functional connectivity of the human brain has been studied using tools from complex network theory. One such tool is community detection which  is  fundamental for uncovering the links between structure and function in complex networks.

Section: Publications & Resources

Thanks to their ability to monitor physical activity and health-related parameters, wearable devices are becoming nowadays more and more popular. In addition to what they already offer, an interesting capability achievable through such devices is biometric recognition.

Section: Events

Date: October 20, 2022 Time: 4:00 PM ET (New York Time) Title: Wearable Biometrics: Novel Paradigms for Automatic People Recognition Registration | Full webinar details

Section: Publications & Resources

The IEEE Signal Processing Society welcomes expert contributions to a multitude of the Society’s publications each month. To view the Society’s most popular articles, please click on the name of your publication of interest below.

Section: Events

Date: October 4, 2022 Time: 4:00 PM (Central European Time (CET)) Title: Multi-Frequency Functional Connectivity Networks of the Brain Registration | Full webinar details

Section: Events

Honorarium Acknowledgment By accepting the Honorarium, the Recipient acknowledges and agrees:

Section: Publications & Resources

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.

Section: Publications & Resources

Publication: IEEE Open Journal of Signal Processing

Reviewer Instructions for OJSP Reproducibility Reviews Author Instructions For OJSP Reproducibility Review Reviewer Instructions for OJSP Reproducibility Reviews-->ContextOJSP has initiated an enhanced reproducibility initiative for learning-based papers, i.e., papers where the primary results are obtained using a trained computational model, such as a deep neural network or a dictionary representation.

Section: Events

Date: October 19, 2022 Time: 3:00 PM (Paris Time) Title: Learning from Unreliable Labels via Crowdsourcing Registration | Full webinar details