Acquisition of labeled training samples for affective computing is usually costly and time-consuming, as affects are intrinsically subjective, subtle uncertain, hence multiple human assessors needed to evaluate each sample. Particularly, affect estimation in the 3D space valence, arousal dominance, assessor has perform evaluations three dimensions, which makes labeling problem even more challen...