Unsupervised Adaptation of a Person-Specific Manifold of Facial Expressions
In order to analyze expressions that are different from the prototypic expressions defined by Ekman, manifold learning has been proposed to build person-specific continuous representations of facial expressions. Yet, it is still a challenging problem to build such a manifold with no prior knowledge...
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Veröffentlicht in: | IEEE transactions on affective computing 2020-07, Vol.11 (3), p.419-432 |
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