Deep neural networks are able to learn powerful representations from large quantities of
labeled input data, however they cannot always generalize well across changes in input …

In multimedia analysis, the task of domain adaptation is to adapt the feature representation
learned in the source domain with rich label information to the target domain with less or …

The ability to decode between subjects without the additional data recorded for training is
crucial for BCI applications. However, EEG data have cross-session and cross-subject …

Unlike human learning, machine learning often fails to handle changes between training
(source) and test (target) input distributions. Such domain shifts, common in practical …