Topological inference via meshing

SoCG '10: Proceedings of the twenty-sixth annual symposium on Computational geometry(2010)

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摘要
We apply ideas from mesh generation to improve the time and space complexities of computing the full persistent homological information associated with a point cloud P in Eu- clidean space Rd. Classical approaches rely on the Cech, Rips, -complex, or witness complex ltrations of P , whose complexities scale up very badly with d. For instance, the -complex ltration incurs the n( d) size of the Delaunay triangulation, where n is the size of P. The
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关键词
key-words: topological persistence,n3 time,delaunay triangulation,filtrations interleave multiplicatively,complex filtration,topological inference,carefully-chosen superset,osets,classical approach,euclidean space,witness complex filtrations,point cloud p,space complexity,point cloud,persistent homology,mesh generation
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