| Persistent homology for kernels, images, and cokernels |
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Symposium on Discrete Algorithms
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Proceedings of the Nineteenth Annual ACM -SIAM Symposium on Discrete Algorithms
table of contents
New York, New York
Pages 1011-1020
Year of Publication: 2009
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Authors
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David Cohen-Steiner
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INRIA, Sophia-Antipolis, France
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Herbert Edelsbrunner
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Duke University, Durham, Berlin Mathematical School, Berlin, Germany, and Geomagic, Research Triangle Park, North Carolina
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John Harer
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Duke University, Durham, North Carolina
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Dmitriy Morozov
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Duke University, Durham, North Carolina
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Society for Industrial and Applied Mathematics
Philadelphia, PA, USA
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| Bibliometrics |
Downloads (6 Weeks): 5, Downloads (12 Months): 47, Citation Count: 1
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ABSTRACT
Motivated by the measurement of local homology and of functions on noisy domains, we extend the notion of persistent homology to sequences of kernels, images, and cokernels of maps induced by inclusions in a filtration of pairs of spaces. Specifically, we note that persistence in this context is well defined, we prove that the persistence diagrams are stable, and we explain how to compute them.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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