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A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing.
Nibraas Khan
Mahrukh Tauseef
Ritam Ghosh
Nilanjan Sarkar
Published in:
CoRR (2023)
Keyphrases
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loss function
affective computing
learning to rank
pairwise
distance measure
information retrieval
support vector
reproducing kernel hilbert space
artificial intelligence
face recognition
video sequences
training set
distance function
computational models
solution path