The final objective function can be reformulated as: As can be seen, Eq.9 consists of two parts balanced by the trade-off parameter λ.
the first part corresponds to the maximum margin of the learning system and it can also represent the complexity of the learning system, while the second part corresponds to the emotion loss function of the learning system implemented in hinge form.