Bayesian decision theory, the maximum local mass method, and color constancy
Bayesian analysis of the problem a b = 1.
Assuming uniform prior probabilities over the graphed region, (a) shows the posterior probability for gaussian observation noise of variance $0.18$. The noise broadens the geometric solution into a hyperbola--shaped ridge of maximum probability. (b) Note the different thickness of the ridge; some parts have more local probability mass than others, even though the entire ridge has a constant maximum height.
Contacts:
Jonathan Yedidia
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| Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy | |
Technology Area: Artificial Intelligence
Modification Date: August 3, 2004
