Hidden Conditional Random Fields
Ariadna Quattoni, Sybor Wang, Louis‐Philippe Morency, Morency Collins, Trevor J. Darrell · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2007
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.