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Giménez Pastor, A.; Andrés Ferrer, J.; Juan Císcar, A.; Serrano Martinez Santos, N. (2011). Discriminative Bernoulli Mixture Models for Handwritten Digit Recognition. En Document Analysis and Recognition (ICDAR), 2011 International Conference on. Institute of Electrical and Electronics Engineers (IEEE). 558-562. https://doi.org/10.1109/ICDAR.2011.118
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/50140
Título: | Discriminative Bernoulli Mixture Models for Handwritten Digit Recognition | |
Autor: | Giménez Pastor, Adrián Andrés Ferrer, Jesús Serrano Martinez Santos, Nicolas | |
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Bernoulli-based models such as Bernoulli mixtures
or Bernoulli HMMs (BHMMs), have been successfully applied
to several handwritten text recognition (HTR) tasks which
range from character recognition to continuous and ...[+]
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Derechos de uso: | Reserva de todos los derechos | |
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Versión del editor: | http://dx.doi.org/10.1109/ICDAR.2011.118 | |
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Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV “Consolider Ingenio 2010” program (CSD2007-00018), iTrans2 (TIN2009-14511) and MITTRAL (TIN2009-14633-C03-01) projects. Also supported by the ...[+]
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