Standard

Evaluating Distance Approximation for Implicit Curve Fitting. / Гончарова, Марина Витальевна; Утешев, Алексей Юрьевич; Лаздин, Артур Вячеславович.

Proceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020. ed. / Sergey Balandin; Ilya Paramonov; Tatiana Tyutina. IEEE Industrial Electronics Society, 2020. p. 102-107 9087461 (Conference of Open Innovation Association, FRUCT; Vol. 2020-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Гончарова, МВ, Утешев, АЮ & Лаздин, АВ 2020, Evaluating Distance Approximation for Implicit Curve Fitting. in S Balandin, I Paramonov & T Tyutina (eds), Proceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020., 9087461, Conference of Open Innovation Association, FRUCT, vol. 2020-April, IEEE Industrial Electronics Society, pp. 102-107, 26th Conference of Open Innovations Association FRUCT, FRUCT 2020, Yaroslavl, Russian Federation, 23/04/20. https://doi.org/10.23919/FRUCT48808.2020.9087461

APA

Гончарова, М. В., Утешев, А. Ю., & Лаздин, А. В. (2020). Evaluating Distance Approximation for Implicit Curve Fitting. In S. Balandin, I. Paramonov, & T. Tyutina (Eds.), Proceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020 (pp. 102-107). [9087461] (Conference of Open Innovation Association, FRUCT; Vol. 2020-April). IEEE Industrial Electronics Society. https://doi.org/10.23919/FRUCT48808.2020.9087461

Vancouver

Гончарова МВ, Утешев АЮ, Лаздин АВ. Evaluating Distance Approximation for Implicit Curve Fitting. In Balandin S, Paramonov I, Tyutina T, editors, Proceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020. IEEE Industrial Electronics Society. 2020. p. 102-107. 9087461. (Conference of Open Innovation Association, FRUCT). https://doi.org/10.23919/FRUCT48808.2020.9087461

Author

Гончарова, Марина Витальевна ; Утешев, Алексей Юрьевич ; Лаздин, Артур Вячеславович. / Evaluating Distance Approximation for Implicit Curve Fitting. Proceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020. editor / Sergey Balandin ; Ilya Paramonov ; Tatiana Tyutina. IEEE Industrial Electronics Society, 2020. pp. 102-107 (Conference of Open Innovation Association, FRUCT).

BibTeX

@inproceedings{e2327a3e62fc4c618fd6a04d3b9e785e,
title = "Evaluating Distance Approximation for Implicit Curve Fitting",
abstract = "The curve or surface fitting problem to the given data set is treated as the one of comparison of the distance function with its suggested approximation. The comparison is performed in terms of statistical characteristics for the two sets of random variables. The approach is exemplified via the sets generated by single ellipse or a pair of ellipses.",
author = "Гончарова, {Марина Витальевна} and Утешев, {Алексей Юрьевич} and Лаздин, {Артур Вячеславович}",
note = "Publisher Copyright: {\textcopyright} 2020 FRUCT.; 26th Conference of Open Innovations Association FRUCT, FRUCT 2020 ; Conference date: 23-04-2020 Through 24-04-2020",
year = "2020",
month = apr,
doi = "10.23919/FRUCT48808.2020.9087461",
language = "English",
series = "Conference of Open Innovation Association, FRUCT",
publisher = "IEEE Industrial Electronics Society",
pages = "102--107",
editor = "Sergey Balandin and Ilya Paramonov and Tatiana Tyutina",
booktitle = "Proceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020",

}

RIS

TY - GEN

T1 - Evaluating Distance Approximation for Implicit Curve Fitting

AU - Гончарова, Марина Витальевна

AU - Утешев, Алексей Юрьевич

AU - Лаздин, Артур Вячеславович

N1 - Publisher Copyright: © 2020 FRUCT.

PY - 2020/4

Y1 - 2020/4

N2 - The curve or surface fitting problem to the given data set is treated as the one of comparison of the distance function with its suggested approximation. The comparison is performed in terms of statistical characteristics for the two sets of random variables. The approach is exemplified via the sets generated by single ellipse or a pair of ellipses.

AB - The curve or surface fitting problem to the given data set is treated as the one of comparison of the distance function with its suggested approximation. The comparison is performed in terms of statistical characteristics for the two sets of random variables. The approach is exemplified via the sets generated by single ellipse or a pair of ellipses.

UR - http://www.scopus.com/inward/record.url?scp=85084995701&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/f7d86b19-a7a9-344f-b7ac-67ec2cdec5b4/

U2 - 10.23919/FRUCT48808.2020.9087461

DO - 10.23919/FRUCT48808.2020.9087461

M3 - Conference contribution

T3 - Conference of Open Innovation Association, FRUCT

SP - 102

EP - 107

BT - Proceedings of the 26th Conference of Open Innovations Association FRUCT, FRUCT 2020

A2 - Balandin, Sergey

A2 - Paramonov, Ilya

A2 - Tyutina, Tatiana

PB - IEEE Industrial Electronics Society

T2 - 26th Conference of Open Innovations Association FRUCT, FRUCT 2020

Y2 - 23 April 2020 through 24 April 2020

ER -

ID: 53364855