Large-scale eigenvector approximation via Hilbert space embedding Nyström
type: Item
instance of: scholarly article
title: Large-scale eigenvector approximation via Hilbert space embedding Nyström
zbMATH Open document ID: 1374.68400
author: Ming Lin
author: Fei Wang
author: Changshui Zhang
published in: Pattern Recognition
publication date: 2017-11-13T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 15A18
zbMATH DE Number: 6806425
zbMATH Keywords: eigenvalues
zbMATH Keywords: eigenfunctions
zbMATH Keywords: sampling methods
zbMATH Keywords: spectral analysis
MaRDI profile type: Publication
full work available at URL: j.patcog.2014.11.017
OpenAlex ID: W1966596927
cites work: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
cites work: Q3093333
cites work: Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
cites work: The Spectral Approximation of Linear Operators with Applications to the Computation of Eigenelements of Differential and Integral Operators
cites work: A Hilbert Space Embedding for Distributions
cites work: Hilbert space embeddings and metrics on probability measures
cites work: Q3320132
cites work: Density-Weighted Nyström Method for Computing Large Kernel Eigensystems
DOI: 10.1016/J.PATCOG.2014.11.017
description: scientific article; zbMATH DE number 6806425