An Enhanced EM algorithm using maximum entropy distribution as initial condition
ICPR(2012)
Abstract
The conventional EM algorithms may suffer from the following two problems. First, it may converge to a local maximum. Second, the algorithm may suffer from singularity. A novel Enhanced EM algorithm (EEM) using a realization of maximum-entropy uniform distribution as initial condition is proposed. A global optimal solution can be obtained. In addition, a positive perturbation scheme is adopted to avoid singularity. Experimental results have demonstrated that the EEM is simple and effective compared with some prior arts.
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Key words
expectation-maximisation algorithm,eem,maximum-entropy uniform distribution,perturbation theory,positive perturbation scheme,initial condition,enhanced em algorithm,global optimal solution,maximum entropy methods
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