Nonlinearly Structured Low-Rank Approximation

DOI10.1007/978-3-319-12000-3_1zbMath1323.68543OpenAlexW2250632735MaRDI QIDQ3449314

Konstantin Usevich, Ivan Markovsky

Publication date: 4 November 2015

Published in: Low-Rank and Sparse Modeling for Visual Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-12000-3_1

zbMATH Keywords

nonlinear system identificationstructured low-rank approximationconic section fittingsubspace clustering

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Numerical smoothing, curve fitting (65D10) Computing methodologies for image processing (68U10) System identification (93B30)

Related Items (3)

Adjusted least squares fitting of algebraic hypersurfaces ⋮ Structured low-rank approximation for nonlinear matrices ⋮ Universal machine learning for topology optimization

Uses Software

• PRMLT

Cites Work

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• Polynomial Regression With Errors in the Variables
• Statistical bias of conic fitting and renormalization
• Separable nonlinear least squares: the variable projection method and its applications
• Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
• Principal Curves
• Least-squares fitting of circles and ellipses

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