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A manifold fitting approach for high-dimensional data reduction beyond Euclidean space

National University of Singapore (NUS) statisticians have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smo

United statesHarvard universityTsinghua universityNational university of singaporeGenerative adversarial networks gansDepartment of statisticsCentre of mathematical sciencesYau mathematical sciences centreInternational congressNational universityAssociate professor zhigangData scienceGenerative adversarial networksProfessor shing tungAssoc prof yaoProf yau

A manifold fitting approach for high-dimensional data reduction beyond Euclidean space

National University of Singapore (NUS) statisticians have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smo

United statesHarvard universityTsinghua universityNational university of singaporeDepartment of statisticsGenerative adversarial networks gansCentre of mathematical sciencesInternational congressYau mathematical sciences centreNational universityAssociate professor zhigangData scienceGenerative adversarial networksProfessor shing tungAssoc prof yaoProf yau

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