Comparative analysis of the computational geometry and neural network classification methods for person identification purposes via the EEG : Part 1

DOI10.1080/09720529.2004.10698012zbMath1060.92005OpenAlexW2329204608MaRDI QIDQ4665530

Maria Rangoussi, Fotis Georgiacodis, Vasilios Chrissikopoulos, Agelos Evangelou, Marios Poulos

Publication date: 11 April 2005

Published in: Journal of Discrete Mathematical Sciences and Cryptography (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09720529.2004.10698012

zbMATH Keywords

fast Fourier transformsAR feature extraction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (1)

Stable EEG Features

Cites Work

• An efficient algorithm for determining the convex hull of a finite planar set
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Comparative analysis of the computational geometry and neural network classification methods for person identification purposes via the EEG : Part 1