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Discriminative Fields for Modeling Spatial Dependencies in Natural Images

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16, (2004): 1531.0-1538.0

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In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial dependencies in the labels as well as the observed data. The proposed model exploits local discriminative models and allows to relax the assumption of conditional ind...更多

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