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Regularized Wasserstein Means for Aligning Distributional Data

We propose to align distributional data from the perspective of Wasserstein means. We raise the problem of regularizing Wasserstein means and propose several terms tailored to tackle different problems. Our formulation is based on the variational transportation to distribute a sparse discrete measur...

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Detalhes bibliográficos
Publicado no:Proc AAAI Conf Artif Intell
Main Authors: Mi, Liang, Zhang, Wen, Wang, Yalin
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8049602/
https://ncbi.nlm.nih.gov/pubmed/33868774
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1609/aaai.v34i04.5960
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