Fast memory-efficient generalized belief propagation
Generalized Belief Propagation (GBP) has proven to be a promising technique for performing inference on Markov random fields (MRFS). However, its heavy computational cost and large memory requirements have restricted its application to problems with small state spaces. We present methods for reducin...
| Главные авторы: | , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
Springer Verlag
2006
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