The scientific basis of our PMM methodology is the combination of Gaussian Processes for modelling the variability of object classes and a stochastic optimization framework bases on a Markov Chain Monte Carlo method.

The analysis of novel data is performed by fitting the GP to the novel data using MCMC optimization.


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