The very recent work (Zadeh et al., 2018a) also approaches multi-view learning with recourse to a system of recurrent encoders and attention mediated by global memory fusion.
(2018b), these predictions were evaluated against the reference emotions using the criteria of mean square error (MSE) and mean absolute error (MAE), summing across 6 classes.