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...
Những tác giả chính: | , |
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Định dạng: | Conference item |
Ngôn ngữ: | English |
Được phát hành: |
Springer Verlag
2006
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