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Hidden Conditional Random Fields

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5 Author(s)
Quattoni, A. ; Massachusetts Inst. of Technol., Cambridge ; Wang, S. ; Morency, L. ; Collins, M.
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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 not be independent and may overlap in space and time.

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:29 ,  Issue: 10 )