Active Learning for event detection in large-scale information networks.
Research Project, 2018
– 2019
The project aims at teaching a safety system in a vehicle, connected to the cloud, to detect rare events in the surrounding traffic environment as quickly and as reliably as possible. The challenge lies in the large number of hypotheses, the noisy observations, and the limited prior knowledge on the rare events.Using data sharing, where information is extracted from massive data streams, a collective learning in large complex networks is being built up.
Participants
Tomas McKelvey (contact)
Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering
Qing Zhao
Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering
Collaborations
Cornell University
Ithaca, USA
Funding
Region Västra Götaland
Project ID: RUN2018-05-21
Funding Chalmers participation during 2018–2019