Two-stage dimension reduction for noisy high-dimensional images and application to cryogenic electron microscopy

DOI10.4310/AMSA.2020.v5.n2.a4zbMath1457.62380arXiv1911.09816MaRDI QIDQ2218179

Yanyan Li

Publication date: 14 January 2021

Published in: Annals of Mathematical Sciences and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.09816

zbMATH Keywords

random matrix theorygeneralized information criterionrank selectionimage denoising and reconstructionStein's unbiased estimate of risk

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Factor analysis and principal components; correspondence analysis (62H25) Image analysis in multivariate analysis (62H35) Applications of statistics in engineering and industry; control charts (62P30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Applications of statistics to physics (62P35) Statistical aspects of information-theoretic topics (62B10)

Related Items (3)

A generalized information criterion for high-dimensional PCA rank selection ⋮ Uncertainty Quantification in Dynamic Image Reconstruction with Applications to Cryo-EM ⋮ On the asymptotic normality and efficiency of Kronecker envelope principal component analysis

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