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Partitionnement de tracés manuscrits en ligne par modèles markoviens

Abstract : We present an unsupervised approach to cluster sequences. This method is inspired by topology learning methods for hidden Markov models, and is built upon the definition of a distance between Markov models. This type of technique may be used to learn Markovian character models from data or to identify allographs or handwriting styles.
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Contributor : Roger T. Pédauque Connect in order to contact the contributor
Submitted on : Tuesday, December 7, 2004 - 2:51:51 PM
Last modification on : Tuesday, January 11, 2022 - 4:06:08 PM
Long-term archiving on: : Saturday, April 3, 2010 - 10:52:28 PM


  • HAL Id : sic_00001219, version 1



Henri Binsztok, Thierry Artières, Patrick Gallinari. Partitionnement de tracés manuscrits en ligne par modèles markoviens. Jun 2004. ⟨sic_00001219⟩



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