0410442 20240103182214.320060210235959.9 0-7695-0750-6 2 Pattern Recognition and Neural Networks. Los Alamitos IEEE Computer Society 2000 5 s. 585-589SanfeliuA.VillanuevaJ. J.VanrellM. cav_un_auth*0101091 Grim Jiří UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101182 Pudil Pavel UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101197 Somol Petr UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K IAA2075703 GA AV CZ cav_un_auth*0218731 VS96063 MŠMT CZ cav_un_auth*0025066 ME 187 MŠMT CZ cav_un_auth*0028306 AV0Z1075907 As shown recently, the structural optimization of probabilistic neural networks can be included into EM algorithm by introducing a special type of mixtures. The method has been applied to recognize unconstrained handwritten numerals from the database of Concordia University in Montreal. In the present paper we discuss the possibility of a proper initialization of EM algorithm for estimating the class-conditional multivariate Bernoulli mixtures. cav_un_auth*0212701 International Conference on Pattern Recognition /15./ Barcelona ES 03.09.2000-07.09.2000 BB RO http://hdl.handle.net/11104/0130531 UTIA-B 20000158 2000 2000 Los Alamitos IEEE Computer Society 0-7695-0750-6 Proceedings of the 15th International Conference on Pattern Recognition 585 589 Sanfeliu A. 340 Villanueva J. J. 340 Vanrell M. 340