Distinguished Lecture: Tuomas Virtanen (Tampere University, Finland)
Date: 29 & 31 January 2025
Chapter: Germany Chapter
Chapter Chair: Gerald Enzner
Title: Machine Learning for Acoustic Scene Analysis
The Signal Processing Society (SPS) conducts webinars presented by professionals in the field of signal processing and related technologies on an ongoing basis. Webinars are also hosted periodically by SPS Technical Committees, and other network of communities. Visit the Upcoming Events page to see a list of our upcoming webinars and join us! Visit the SPS BLOG for more related content on a regular basis!
Mérouane Debbah is Professor at Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI.
This paper investigates the probability-guaranteed distributed
In this manuscript, we propose to use a variational autoencoder-based framework for parameterizing a conditional linear minimum mean squared error estimator. The variational autoencoder models the underlying unknown data distribution as conditionally Gaussian, yielding the conditional first and second moments of the estimand, given a noisy observation.
Do you want to dive into the exciting field of distributed machine learning with a special focus on privacy/security? This research topic is going to shake up how we understand and apply machine learning, with the aim of creating safer and more private solutions in an increasingly digitized world. Successful applicants will have the opportunity to explore and contribute to groundbreaking research questions.
Date: 29 & 31 January 2025
Chapter: Germany Chapter
Chapter Chair: Gerald Enzner
Title: Machine Learning for Acoustic Scene Analysis
The Delft Center for Systems and Control (DCSC) is offering one PhD vacancy under the newly funded ‘Digitally modulated radars’ (DiMoRA) project. The project will be carried out in the research group of Dr. N. J. Myers, in collaboration with researchers at the faculty of EEMCS and experts from NXP Semiconductors.
An occlusion-aware model for gait video processing uses SMPL-based human mesh models and machine learning to achieve superior recognition in challenging surveillance videos.
Date: 4 December 2024
Time: 11:00 AM ET (New York time)
Presenter(s): Renjie Liao
Date: 6 December 2024
Time: 1:00 PM ET (New York Time)
Presenter(s): Dr. Alessandro Gozzi