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)

Professor vid Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik

Qing Zhao

vid Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik

Collaborations

Cornell University

Ithaca, USA

Funding

Region Västra Götaland

Funding Chalmers participation during 2018–2019

More information

Latest update

2019-08-27