Large-scale eigenvector approximation via Hilbert space embedding Nyström

DOI10.1016/j.patcog.2014.11.017zbMath1374.68400OpenAlexW1966596927MaRDI QIDQ1677860

Ming Lin, Changshui Zhang, Fei Wang

Publication date: 13 November 2017

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2014.11.017

zbMATH Keywords

eigenvalueseigenfunctionsspectral analysissampling methods

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Eigenvalues, singular values, and eigenvectors (15A18)

Related Items

Clustering based on eigenvectors of the adjacency matrix

Cites Work

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• Hilbert space embeddings and metrics on probability measures
• Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
• A Hilbert Space Embedding for Distributions
• Density-Weighted Nyström Method for Computing Large Kernel Eigensystems
• The Spectral Approximation of Linear Operators with Applications to the Computation of Eigenelements of Differential and Integral Operators
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation