Hidden conditional random fields
We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need no...
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 29(2007), 10 vom: 15. Okt., Seite 1848-53 |
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Auteur principal: | |
Autres auteurs: | , , , |
Format: | Article |
Langue: | English |
Publié: |
2007
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
Sujets: | Journal Article |