0411021 20240103182256.120060210235959.9 1-4020-0953-4 Dordrecht Kluwer 2003 36 s. 201-236ChenD.ChengX. pattern recognition multi-dimensional models cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K GA102/00/0030 GA ČR cav_un_auth*0004016 GA106/00/1715 GA ČR cav_un_auth*0005263 IST-2001-34744 Commission EC XE cav_un_auth*0200688 CEZ:AV0Z1075907 Recognition and processing of multi-dimensional data (or set of spatially related objects) is more accurate and efficient if we take into account all interdependencies between single objects. Objects to be processed are often mutually dependent with a dependency degree related to a distance between two objects in their corresponding data space. These relations can be incorporated into a pattern recognition process through appropriate multi-dimensional data model. BD RO http://hdl.handle.net/11104/0131108 UTIA-B 20030008 2003 2003 Dordrecht Kluwer 1-4020-0953-4 Pattern Recognition and String Matching 201 236 Chen D. 340 Cheng X. 340