"[DEE874952A29]" . "696130" . . "K\u00E1rn\u00FD, Miroslav" . "227;233" . . . . . "Principal component analysis is a well developed and understood method of multivariate data processing. Its optimal performance requires knowledge of noise covariance that is not available in most applications. We suggest a method for estimation of noise covariance based on assumed smoothness of the estimated dynamics." . "Springer-Verlag" . "RIV/67985556:_____/01:16010096!RIV/2003/AV0/A16003/N" . . . "Smoothness prior information in principal component analysis of dynamic image data." . . "7"^^ . "3-540-42245-5" . "RIV/67985556:_____/01:16010096" . "Information Processing in Medical Imaging." . "Smoothness prior information in principal component analysis of dynamic image data." . "New York" . . "Davis [US]" . . . "2"^^ . . "Smoothness prior information in principal component analysis of dynamic image data."@en . "P(GA102/99/1564), P(NN5382), Z(AV0Z1075907)" . "0"^^ . . . "0"^^ . . "Principal component analysis is a well developed and understood method of multivariate data processing. Its optimal performance requires knowledge of noise covariance that is not available in most applications. We suggest a method for estimation of noise covariance based on assumed smoothness of the estimated dynamics."@en . "Szabo, Z." . "\u0160\u00E1mal, M." . . "\u0160m\u00EDdl, V\u00E1clav" . "5"^^ . . "Smoothness prior information in principal component analysis of dynamic image data."@en . "PCA; prior information; dynamic medical imaging"@en . . . . "2001-06-17+02:00"^^ . "Backfrieder, W." .