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ICPR
2008
IEEE

A new HMM training and testing scheme

15 years 19 days ago
A new HMM training and testing scheme
One of disadvantages of Hidden Markov Models (HMMs) is its low resistance to unexpected noises among observation sequences. Unexpected noises in a sequence usually "break" a sequence of observations, and then makes this sequence unrecognizable for trained models. We propose a new HMM training and testing scheme, which compensates some of the negative effects of such noises. We carried out experiment on handwritten digit recognition problem and the result suggests our proposal can be as effective as multiclassifier systems.
Albert Hung-Ren Ko, Alceu de Souza Britto Jr., Rob
Added 05 Nov 2009
Updated 05 Nov 2009
Type Conference
Year 2008
Where ICPR
Authors Albert Hung-Ren Ko, Alceu de Souza Britto Jr., Robert Sabourin
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