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.
Original language | English (US) |
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Title of host publication | ICPR 2012 - 21st International Conference on Pattern Recognition |
Pages | 849-852 |
Number of pages | 4 |
State | Published - Dec 1 2012 |
Event | 21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan Duration: Nov 11 2012 → Nov 15 2012 |
Other
Other | 21st International Conference on Pattern Recognition, ICPR 2012 |
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Country/Territory | Japan |
City | Tsukuba |
Period | 11/11/12 → 11/15/12 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition