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pro vyhledávání: '"Melinda Dyar"'
Autor:
Melinda Dyar, Allan H. Treiman, Colin Wilson, Candace Gray, Paul K. Byrne, Jeff Balcerski, Joseph O'Rourke, Jennifer L. Whitten, Gary W. Hunter, Giada Arney, Noam R. Izenberg, Patrick J. McGovern, Kevin McGouldrick, Lynn M. Carter, Emilie Royer
Publikováno v:
Bulletin of the AAS. 53
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 29
Current manifold alignment methods can effectively align data sets that are drawn from a non-intersecting set of manifolds. However, as data sets become increasingly high-dimensional and complex, this assumption may not hold. This paper proposes a no