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ENTITY Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression

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  1. RESEARCH · CL_145600 ·

    New theory explores deep learning for speckle noise in imaging

    Researchers have developed a minimax theory for likelihood-based deep learning to address speckle noise in imaging modalities like synthetic aperture radar and optical coherence tomography. This new framework handles bo…