Bayesian nonparametric mixture models represent a powerful statistical framework that extends traditional mixture modelling by allowing the number of mixture components to be inferred from the data ...
The point set registration problem can be described as: for two finite size point sets M, S M,S, where M M represents the moving “model” set and S S represents the fixed “scene” set, and both M M and ...
A generalized linear finite mixture model and an EM algorithm to fit the model to data are described. By this approach the finite mixture model is embedded within the general framework of generalized ...
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