@inproceedings{ed260ed17086467484eb3938bf649ea1,
title = "An Enhanced em algorithm using maximum entropy distribution as initial condition",
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.",
author = "Guorong Xuan and Shi, \{Yun Q.\} and Peiqi Chai and Patchara Sutthiwan",
year = "2012",
language = "English (US)",
isbn = "9784990644109",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "849--852",
booktitle = "ICPR 2012 - 21st International Conference on Pattern Recognition",
address = "United States",
note = "21st International Conference on Pattern Recognition, ICPR 2012 ; Conference date: 11-11-2012 Through 15-11-2012",
}