Semi-parametric classification of noisy curves
type: Item
instance of: scholarly article
title: Semi-parametric classification of noisy curves
zbMATH Open document ID: 1010.68160
DOI: 10.1016/S0031-3203(02)00043-2
author: A. J. Goode
author: Richard Glendinning
published in: Pattern Recognition
publication date: 2003-02-11T00:00:00Z
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 1866371
zbMATH Keywords: acoustic
zbMATH Keywords: classification
zbMATH Keywords: dissimilarity
zbMATH Keywords: functional data analysis
zbMATH Keywords: radar
zbMATH Keywords: semi-parametric
describes a project that uses: fda (R)
MaRDI profile type: Publication
cites work: Penalized discriminant analysis
cites work: Q3681765
cites work: Functional data analysis
cites work: Multivariate adaptive regression splines
cites work: Test of Significance Based on Wavelet Thresholding and Neyman's Truncation
cites work: Discrimination with Many Variables
cites work: Application example of neural networks for time series analysis: Rainfall-runoff modeling
cites work: Testing Parametric versus Semiparametric Modeling in Generalized Linear Models
cites work: Signal Detection in Underwater Sound Using Wavelets
cites work: Curve Registration
cites work: Q3823646
cites work: An overview of model-robust regression
cites work: Asymptotic results for model robust regression
cites work: Q4267673
cites work: Semiparametric regression model selections.
cites work: Consistent Model Specification Tests: Omitted Variables and Semiparametric Functional Forms
cites work: Simultaneous non-parametric regressions of unbalanced longitudinal data
cites work: A comparison of regression spline smoothing procedures
cites work: Robust shape classification
cites work: Detecting changes in signals and systems - a survey
full work available at URL: s0031-3203(02)00043-2
OpenAlex ID: W2013234815
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description: scientific article; zbMATH DE number 1866371