Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction

DOI10.1080/10618600.2022.2035738OpenAlexW4210655154MaRDI QIDQ5057247

M. Faisal Beg, Jian Pei, Jiguo Cao, Haolun Shi, Yuping Yang, Da Ma, Liang-Liang Wang

Publication date: 16 December 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2022.2035738

zbMATH Keywords

functional data analysiseigendecompositiontwo-dimensional surfaces

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• MNIST

Cites Work

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• Some properties of smoothed principal components analysis for functional data
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• Smoothed functional principal components analysis by choice of norm
• Properties of principal component methods for functional and longitudinal data analysis
• Fast covariance estimation for high-dimensional functional data
• Interpretable functional principal component analysis
• Variable-Domain Functional Principal Component Analysis
• Generalized multilevel function‐on‐scalar regression and principal component analysis
• Structured functional principal component analysis
• Functional Principal Component Regression and Functional Partial Least Squares
• Principal component models for sparse functional data
• Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
• Recovering the underlying trajectory from sparse and irregular longitudinal data
• Scalar-on-image regression via the soft-thresholded Gaussian process
• A Bayesian Model for Sparse Functional Data
• Functional Data Analysis for Sparse Longitudinal Data
• Parametric Functional Principal Component Analysis

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