WebJun 18, 2007 · An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem Abstract: Given a large overcomplete dictionary of basis vectors, the goal is to simultaneously represent L>1 signal vectors using coefficient expansions marked by a common sparsity profile. This generalizes the standard sparse representation … WebJul 1, 2024 · In short, the Bayesian paradigm is a statistical/probabilistic paradigm in which a prior knowledge, modelled by a probability distribution, is updated each time a new observation, whose uncertainty is modelled by another probability distribution, is recorded.
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