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Bibliografie

Conference Paper (international conference)

Recognition of handwritten numerals by structural probabilistic neural networks

Grim Jiří, Pudil Pavel, Somol Petr

: Proceedings of the Second ICSC Symposium on Neural Computation, p. 528-534 , Eds: Bothe H., Rojas R.

: ICSC, (Wetaskiwin 2000)

: NC 2000, (Berlin, DE, 23.05.2000-26.05.2000)

: AV0Z1075907

: IAA2075703, GA AV, GA402/97/1242, GA ČR, VS96063, MŠMT

: http://library.utia.cas.cz/separaty/historie/grim-recognition of handwritten numerals by structural probabilistic neural networks.pdf

(eng): The well known "beauty defect" of probabilistic neural networks is the biologically unnatural complete interconnection of neurons. Despite of deep reasons of this undesirable property, it can be removed by a special subspace approach without leaving the exact framework of Bayesian decision-making. The structural optimization based on EM algorithm is controlled by an infor- mation criterion. In the present paper the method has been applied to recognize unconstrained handwritten numerals.

: 12B, 09H, 06D

: BB