Why Bayesian estimation?
	Principled way of determining cost function Explicit model of noise and prior knowledge Admits a wider variety of optimization algorithms: • gradient descent (local minimization) • stochastic optimization (Gibbs Sampler) • mean-field optimization • graph theoretic (actually deterministic) [Zabih] • [loopy] belief propagation • large stochastic flips [Swendsen-Wang]