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Continuous Optimization based-on Boosting Gaussian Mixture Model
2006
18th International Conference on Pattern Recognition (ICPR'06)
A new Estimation of Distribution Algorithm(EDA) based-on Gaussian Mixture Model (GMM) is proposed, in which boosting, an efficient ensemble learning method, is adopted to estimate GMM. By boosting simple GMM with two components, it has the ability of learning the model structure and parameters automatically without any requirement for prior knowledge. Moreover, since boosting can be viewed as a gradient search for a good fit of some objective in function space, the new EDA is time efficient. A
doi:10.1109/icpr.2006.412
dblp:conf/icpr/LinWZZ06
fatcat:2hyrvkloaffl5g3gc6nwh6w5rq