Papers with time-continuous labelling

1 papers
Contextual Dependencies in Time-Continuous Multidimensional Affect Recognition (L18-1)

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Challenge: despite of the research done in this area there is still no agreement on this issue.
Approach: a paper compares the amount of context used in a model and performance of a time-continuous labelled spontaneous interaction.
Outcome: a new study shows that the amount of context used in a model and performance is similar across models . the results show that knowledge about an appropriate context can reduce complexity and flexibility .

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