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Dictionary learning/coding and Bayesian hierachical models for quantitative imaging

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RNTW04 - Synergistic workshop on Rich and Nonlinear tomography aimed at drawing together all strands of both methods and applications with new insights

Dictionary learning/coding is gaining popularity in quantitative imaging in several application, including medicine and remote sensing. In this talk some novel ideas to reduce the computational costs and improve the performance of dictionary-based procedures will be discussed.

This talk is part of the Isaac Newton Institute Seminar Series series.

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