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Communication Dans Un Congrès Année : 2006

Polynomial Conditional Random Fields for signal processing

Résumé

We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex dynamic signals and the discriminant power of Conditional Random Fields. We detail the learning of these models and report experimental results on handwriting recognition.
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Dates et versions

hal-01337124 , version 1 (24-06-2016)

Identifiants

  • HAL Id : hal-01337124 , version 1

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Trinh Minh Tri Do, Thierry Artières. Polynomial Conditional Random Fields for signal processing. European Conference on Artificial Intelligence (ECAI'06), Aug 2006, Riva del Garda, Italy. pp.797-798. ⟨hal-01337124⟩
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