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...

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Podrobná bibliografie
Hlavní autoři: Kumar, MP, Torr, PHS
Médium: Conference item
Jazyk:English
Vydáno: Springer Verlag 2006