Weak feature size and persistent homology: computing homology of solids in R:::n::: from noisy data samples

Frédéric Chazal, André Lieutier. Weak feature size and persistent homology: computing homology of solids in R:::n::: from noisy data samples. In Joseph S. B. Mitchell, Günter Rote, editors, Proceedings of the 21st ACM Symposium on Computational Geometry, Pisa, Italy, June 6-8, 2005. pages 255-262, ACM, 2005. [doi]

@inproceedings{ChazalL05:0,
  title = {Weak feature size and persistent homology: computing homology of solids in R:::n::: from noisy data samples},
  author = {Frédéric Chazal and André Lieutier},
  year = {2005},
  doi = {10.1145/1064092.1064132},
  url = {http://doi.acm.org/10.1145/1064092.1064132},
  tags = {persistent},
  researchr = {https://researchr.org/publication/ChazalL05%3A0},
  cites = {0},
  citedby = {0},
  pages = {255-262},
  booktitle = {Proceedings of the 21st ACM Symposium on Computational Geometry, Pisa, Italy, June 6-8, 2005},
  editor = {Joseph S. B. Mitchell and Günter Rote},
  publisher = {ACM},
  isbn = {1-58113-991-8},
}