# PAC-Bayesian aggregation and NL-Means

### joint work with J. Salmon and L. Montuelle

How to combine estimators to obtain a better one? This is a goal of estimator aggregation. We study here the case of PAC-Bayesian aggregation in which the weights of each estimator depends exponentially on an estimate of its risk. The first serie of work studies the NL-Means estimate, an image estimate based on patch recombination, under this angle. The second considers general projection (and smoothed projection) estimators.

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