EARTHMOVER-BASED MANIFOLD LEARNING FOR ANALYZING MOLECULAR CONFORMATION SPACES.

Zelesko, Nathan; Moscovich, Amit; Kileel, Joe; Singer, Amit

Zelesko, Nathan; Moscovich, Amit; Kileel, Joe; Singer, Amit.

Afiliación

Zelesko N; Department of Mathematics, Brown University.
Moscovich A; Program in Applied and Computational Mathematics, Princeton University.
Kileel J; Program in Applied and Computational Mathematics, Princeton University.
Singer A; Program in Applied and Computational Mathematics, Princeton University.

Proc IEEE Int Symp Biomed Imaging ; 2020: 1715-1719, 2020 Apr.

Article en En | MEDLINE | ID: mdl-36570366

Palabras clave

Laplacian eigenmaps; Wasserstein metric; computational optimal transport; cryo-electron microscopy; diffusion maps; dimensionality reduction; shape space

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc IEEE Int Symp Biomed Imaging Año: 2020 Tipo del documento: Article Pais de publicación: Estados Unidos

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