Computationally efficient eigenspace decomposition of correlated images characterized by three parameters
type: Item
instance of: scholarly article
title: Computationally efficient eigenspace decomposition of correlated images characterized by three parameters
zbMATH Open document ID: 1422.68262
author: K. Saitwal
author: Rodney G. Roberts
author: Anthony A. Maciejewski
published in: PAA. Pattern Analysis and Applications
publication date: 2010-10-19T00:00:00Z
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 15A23
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 5802742
zbMATH Keywords: eigenspace
zbMATH Keywords: singular value decomposition
zbMATH Keywords: computational complexity
zbMATH Keywords: image sequences
zbMATH Keywords: three-dimensional correlations
zbMATH Keywords: computer vision
MaRDI profile type: Publication
full work available at URL: s10044-008-0135-9
OpenAlex ID: W1973291102
cites work: Q3998716
cites work: A Method for Computing the Partial Singular Value Decomposition
cites work: Gradient-Type Algorithms for Partial Singular Value Decomposition
cites work: A survey of conjugate gradient algorithms for solution of extreme eigen-problems of a symmetric matrix
cites work: Iterative SVD-Based Methods for Ill-Posed Problems
cites work: Fast eigenspace decomposition of correlated images
cites work: Q3208805
DOI: 10.1007/S10044-008-0135-9
description: scientific article; zbMATH DE number 5802742