For this purpose, the union of the source and target feature spaces is split into domain-independent (often referred to as pivots) and domain-specific features using heuristics such as mutual information or frequency of a feature in a domain.
3 Self-Adapt does not require sub-sampling of unlabelled data and uses all the available unlabelled data for UDA.