0410628 20240103182227.620060210235959.9 Maynooth NUI Maynooth 2001 6 s. 129-134ShortenR.WardT.LysaghtT. PCA prior information dynamic medical imaging cav_un_auth*0101207 Šmídl Václav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0021112 Quinn A. IE http://library.utia.cas.cz/separaty/historie/karny-on prior information in principal component analysis.pdf 06Y GA102/99/1564 GA ČR cav_un_auth*0004444 AV0Z1075907 Principal component analysis is well developed and understood method of multivariate data processing. Performance of PCA depends on the amount and characteristics of the noise in the observed data. In this paper we show how the use of a Bazesian approach, and especially prior information, improves its performance. cav_un_auth*0212808 Irish Signals and Systems Conference 2001 Maynooth IE 25.06.2001-27.06.2001 BB AS http://hdl.handle.net/11104/0130717 UTIA-B 20010097 2001 2001 Maynooth NUI Maynooth Irish Signals and Systems Conference 2001. Proceedings 129 134 Shorten R. 340 Ward T. 340 Lysaght T. 340