Multidimensional Bernstein polynomials and Bézier curves: analysis of machine learning algorithm for facial expression recognition based on curvature

DOI10.1016/j.amc.2018.10.012zbMath1428.68277OpenAlexW2898460400WikidataQ129031710 ScholiaQ129031710MaRDI QIDQ2008370

Buket Simsek, Irem Kucukoglu, Yilmaz Simsek

Publication date: 25 November 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2018.10.012

zbMATH Keywords

generating functionmachine learningBézier curveBernstein basis functionfacial expression recognitionstatistical evaluations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Related Items

On the generating functions and special functions associated with superoscillations ⋮ A numerical comparative study of generalized Bernstein-Kantorovich operators ⋮ Some approximation properties of new Kantorovich type \(q\)-analogue of Balázs-Szabados operators ⋮ Some approximation properties of new \(( p,q ) \)-analogue of Balázs-Szabados operators ⋮ Extended Bernstein-Kantorovich-Stancu Operators with Multiple Parameters and Approximation Properties

Uses Software

• LIBSVM
• Cohn-Kanade

Cites Work

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