Sparse Matrix Belief Propagation
We propose sparse-matrix belief propagation, which executes loopy belief propagation in Markov random fields by replacing indexing over graph neighborhoods with sparse-matrix operations. This abstraction allows for seamless integration with optimized sparse linear algebra libraries, including those...
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| Format: | Others |
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Virginia Tech
2018
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| Online Access: | http://hdl.handle.net/10919/83228 |