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Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM. / Belkov, Daniil; Purtov, Konstantin; Kublanov, Vladimir.
Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017. Vol. 2017-April IEEE Computer Society, 2017. p. 40-45 8071290.

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

Harvard

Belkov, D, Purtov, K & Kublanov, V 2017, Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM. in Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017. vol. 2017-April, 8071290, IEEE Computer Society, pp. 40-45, 20th Conference of Open Innovations Association, FRUCT 2017, Saint Petersburg, Russian Federation, 03/04/2017. https://doi.org/10.23919/FRUCT.2017.8071290

APA

Belkov, D., Purtov, K., & Kublanov, V. (2017). Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM. In Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017 (Vol. 2017-April, pp. 40-45). [8071290] IEEE Computer Society. https://doi.org/10.23919/FRUCT.2017.8071290

Vancouver

Belkov D, Purtov K, Kublanov V. Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM. In Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017. Vol. 2017-April. IEEE Computer Society. 2017. p. 40-45. 8071290 doi: 10.23919/FRUCT.2017.8071290

Author

Belkov, Daniil ; Purtov, Konstantin ; Kublanov, Vladimir. / Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM. Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017. Vol. 2017-April IEEE Computer Society, 2017. pp. 40-45

BibTeX

@inproceedings{a33183ec2b5b41f5879844924787901b,
title = "Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM",
author = "Daniil Belkov and Konstantin Purtov and Vladimir Kublanov",
year = "2017",
month = oct,
day = "18",
doi = "10.23919/FRUCT.2017.8071290",
language = "English",
volume = "2017-April",
pages = "40--45",
booktitle = "Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017",
publisher = "IEEE Computer Society",
address = "United States",
note = "20th Conference of Open Innovations Association, FRUCT 2017 ; Conference date: 03-04-2017 Through 07-04-2017",

}

RIS

TY - GEN

T1 - Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM

AU - Belkov, Daniil

AU - Purtov, Konstantin

AU - Kublanov, Vladimir

PY - 2017/10/18

Y1 - 2017/10/18

UR - http://www.scopus.com/inward/record.url?scp=85037809475&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000425926400006

U2 - 10.23919/FRUCT.2017.8071290

DO - 10.23919/FRUCT.2017.8071290

M3 - Conference contribution

AN - SCOPUS:85037809475

VL - 2017-April

SP - 40

EP - 45

BT - Proceedings of the 20th Conference of Open Innovations Association, FRUCT 2017

PB - IEEE Computer Society

T2 - 20th Conference of Open Innovations Association, FRUCT 2017

Y2 - 3 April 2017 through 7 April 2017

ER -

ID: 6210525