An Enhanced em algorithm using maximum entropy distribution as initial condition

Document Type

Conference Proceeding

Publication Date

12-1-2012

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. © 2012 ICPR Org Committee.

Identifier

84874564786 (Scopus)

ISBN

[9784990644109]

Publication Title

Proceedings International Conference on Pattern Recognition

ISSN

10514651

First Page

849

Last Page

852

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