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You are invited to attend the following M.A.Sc. (Quality Systems Engineering) thesis examination. Finite mixture models have been revealed to provide flexibility for data clustering. They have ...

Finite mixture model is one of the crucial methods used for this task. The basic idea of mixture models is to fit the data at hand to an appropriate distribution. The design of mixture models hence ...

We show that the identi fication results of fi nite mixture and misclassifi cation models are equivalent in a widely-used scenario except an extra ordering assumption. In the misclassi fication model, ...

The point set registration problem can be described as: for two finite size point sets ${M ... One such continuous function that be used for this task is the Gaussian Mixture Model (GMM). The ...

Abstract: Finite mixture models are powerful and progressively important probabilistic tools in machine learning. The practicality of these inference engines is widely acknowledged by employing them ...

Abstract: This paper presents a new statistical model for texture retrieval in the complex wavelet domain. For this purpose, a finite mixture of Weibull distributions (MoWbl) is proposed to ...

R, Julia and Python implementation of the two submarket fully endogenized finite mixture model used in forthcoming articles by Fuad and Farmer (202-) and Fuad, Farmer, and Abidemi (202-).