Learning Flexible Features for Conditional Random Fields


Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increase in model complexity. In this paper, we present a model that is capable of learning such structures using a random field of parameterized features. These features can be functions of… (More)
DOI: 10.1109/TPAMI.2007.70790


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