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
Citations per Year

429 Citations

Semantic Scholar estimates that this publication has 429 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} }