@inproceedings{Bromiley2009BayesianAN, title={Bayesian and Non-Bayesian Probabilistic Models for Image Analysis}, author={Paul A. Bromiley and Neil A. Thacker and Marietta L. J. Scott and Maja Pokric and A. J. Lacey and Tim F. Cootes}, year={2009} }

- Published 2009

Bayesian approaches to data analysis are popular in machine vision, and yet the main advantage of Bayes theory, the ability to incorporate prior knowledge in the form of the prior probabilities, may lead to problems in quantitative tasks. In this paper we demonstrate examples of Bayesian and nonBayesian techniques with the use of selected examples from the… CONTINUE READING

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