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 not be independent and may overlap in space and time.

DOI: 10.1109/TPAMI.2007.1124

6 Figures and Tables

Citations per Year

423 Citations

Semantic Scholar estimates that this publication has received between 335 and 535 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Quattoni2007HiddenCR, title={Hidden Conditional Random Fields}, author={Ariadna Quattoni and Sy Bor Wang and Louis-Philippe Morency and Michael Collins and Trevor Darrell}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, year={2007}, volume={29} }