@inproceedings{c7dfdf0a88aa4d32a62f1bb8e24c4c3f,
title = "Smoothness prior information in principal component analysis of dynamic image data",
abstract = "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.",
author = "V{\'a}clav {\v S}m{\'i}dl and Miroslav K{\'a}rn{\'y} and Martin {\v S}{\'a}mal and Werner Backfrieder and Zsolt Szabo",
year = "2001",
doi = "10.1007/3-540-45729-1_24",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "225--231",
editor = "Insana, {Michael F.} and Leahy, {Richard M.}",
booktitle = "Information Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings",
address = "Germany",
note = "17th International Conference on Information Processing in Medical Imaging, IPMI 2001 ; Conference date: 18-06-2001 Through 22-06-2001",
}