Hidden Conditional Random Fields

Abstract

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
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@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} }