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Found 4 papers, 0 papers with code
Supporting Mouthing in Signed Languages: New innovations and a proposal for future corpus building
This paper describes efforts to improve avatar mouthing by addressing these challenges, resulting in a new approach for mouthing animation.
Topological Data Mapping of Online Hate Speech, Misinformation, and General Mental Health: A Large Language Model Based Study
We then performed various machine-learning classifications based on these embeddings in order to understand the role of hate speech/misinformation in various communities.
SURF: Improving classifiers in production by learning from busy and noisy end users
We show that conventional crowdsourcing algorithms struggle in this user feedback setting, and present a new algorithm, SURF, that can cope with this non-response ambiguity.
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
Now, given such a representation, the problem reduces to segmenting new brain image with additional constraints that enforce consistency between the segmented foreground and the pre-specified histogram over features.
