Graph cut based inference with co-occurrence statistics
Markov and Conditional random fields (crfs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In this paper we consider a class of global potentials defined over all variables in the crf. We show how they can be readily optimised...
| Päätekijät: | , , , |
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| Aineistotyyppi: | Conference item |
| Kieli: | English |
| Julkaistu: |
Springer
2010
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