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Towards persistence-based reconstruction in euclidean spaces
2008
Proceedings of the twenty-fourth annual symposium on Computational geometry - SCG '08
Manifold reconstruction has been extensively studied for the last decade or so, especially in two and three dimensions. Recent advances in higher dimensions have led to new methods to reconstruct large classes of compact subsets of R d . However, the complexities of these methods scale up exponentially with d, making them impractical in medium or high dimensions, even on data sets of low intrinsic dimensionality. In this paper, we introduce a novel approach that stands in-between classical
doi:10.1145/1377676.1377719
dblp:conf/compgeom/ChazalO08
fatcat:vge7xs7oprdythqpvvwad3blla