no code implementations • 9 Feb 2017 • Dongrui Wu, Vernon J. Lawhern, W. David Hairston, Brent J. Lance
wAR makes use of labeled data from the previous headset and handles class-imbalance, and active learning selects the most informative samples from the new headset to label.