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Reconstructing Structured Sparse Signals from Compressive Samples via a Max-Product EM Algorithm
Belief propagation expectation maximization (EM) algorithm hidden Markovtree(HMT) max-productalgo-rithm,structured sparsity,sparse signal reconstruction.
2012/11/22
We propose a Bayesian expectation-maximization (EM) algorithm for reconstructing structured approximately sparse signals via belief propagation. The measurements follow an underdetermined linear model...
Interpreting Graph Cuts as a Max-Product Algorithm
Max-Product Interpreting Graph binary variable models
2011/6/16
The maximum a posteriori (MAP) con guration
of binary variable models with submodular
graph-structured energy functions
can be found eciently and exactly by graph
cuts. Max-product belief propaga...
Statistical convergence of max-product approximating operators
Statistical convergence max-product operators Shepard operators statistical rates
2010/12/21
In this study, using the notion of statistical convergence, we obtain various statistical approximation theorems for a general sequence of max-product approximating operators, including Shepard type o...