Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hengrui Luo"'
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 010902-010902-27 (2024)
The Gaussian process (GP) is a popular statistical technique for stochastic function approximation and uncertainty quantification from data. GPs have been adopted into the realm of machine learning (ML) in the last two decades because of their superi
Externí odkaz:
https://doaj.org/article/079ada3d79f547e7bb3ac57fa0d22489
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC).
Publikováno v:
Foundations of Data Science
Foundations of Data Science, American Institute of Mathematical Sciences, 2021, 3 (4), pp.729-767. ⟨10.3934/fods.2021024⟩
Foundations of Data Science, 2021, 3 (4), pp.729-767. ⟨10.3934/fods.2021024⟩
Foundations of Data Science, American Institute of Mathematical Sciences, 2021, 3 (4), pp.729-767. ⟨10.3934/fods.2021024⟩
Foundations of Data Science, 2021, 3 (4), pp.729-767. ⟨10.3934/fods.2021024⟩
Topological Data Analysis (TDA) provides novel approaches that allow us to analyze the geometrical shapes and topological structures of a dataset. As one important application, TDA can be used for data visualization and dimension reduction. We follow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31a67f1972ecf30a8a755b089b33f223
https://hal.inria.fr/hal-03501929
https://hal.inria.fr/hal-03501929
Autor:
Hengrui Luo1 LUO.619@OSU.EDU, Nattino, Giovanni2 NATTINO.1@OSU.EDU, Pratola, Matthew T.1 MPRATOLA@STAT.OSU.EDU
Publikováno v:
Journal of Machine Learning Research. 2022, Vol. 23, p1-34. 34p.
Publikováno v:
Foundations of Data Science; Dec2021, Vol. 3 Issue 4, p729-767, 39p
Autor:
Hengrui Luo, Justin Strait
A fundamental problem in computer vision is boundary estimation, where the goal is to delineate the boundary of objects in an image. In this paper, we propose a method which jointly incorporates geometric and topological information within an image t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab29a70c4ba40ced3a3a07c1e033324f