Leave-one-out-training and leave-one-out-testing hidden markov models for a handwritten numeral recognizer : the implications of a single classifier and multiple classifications

Hidden Markov Models (HMMs) have been shown to be useful in handwritten pattern recognition. However, owing to their fundamental structure, they have little resistance to unexpected noise among observation sequences. In other words, unexpected noise in a sequence might "break" the normal t...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1998. - 31(2009), 12 vom: 20. Dez., Seite 2168-78
1. Verfasser:	Ko, Albert Hung-Ren (VerfasserIn)
Weitere Verfasser:	Cavalin, Paulo Rodrigo, Sabourin, Robert, de Souza Britto, Alceu
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2009
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article