Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jay-Anne Bulauan"'
Publikováno v:
Algorithms, Vol 13, Iss 11, p 291 (2020)
Stability of persistence diagrams under slight perturbations is a key characteristic behind the validity and growing popularity of topological data analysis in exploring real-world data. Central to this stability is the use of Bottleneck distance whi
Externí odkaz:
https://doaj.org/article/6bec76fea5de4a348c4a9c048632f6a6
Publikováno v:
CinC
This paper accompanies Team Cordi-Ak‘s entry to the classification of 12-lead ECGs for the PhysioNet/Computing in Cardiology Challenge 2020. Our approach leverages mathematically computable topological signatures of 12-lead ECGs as proxy for featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60cd760f19e4f5bc295b3a6a1299718d
https://doi.org/10.22489/cinc.2020.297
https://doi.org/10.22489/cinc.2020.297
Publikováno v:
Algorithms, Vol 13, Iss 291, p 291 (2020)
Algorithms
Volume 13
Issue 11
Algorithms
Volume 13
Issue 11
Stability of persistence diagrams under slight perturbations is a key characteristic behind the validity and growing popularity of topological data analysis in exploring real-world data. Central to this stability is the use of Bottleneck distance whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad7084ed81431f50814e4fb16b138610
https://doi.org/10.3390/a13110291
https://doi.org/10.3390/a13110291