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Optical Machine Learning with Single-pixel Imaging

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Abstract

An optical learning machine is designed based on single-pixel imaging, which can perform pattern recognition full-optically without object image reconstruction. It has advantages of incoherent illumination, low experimental complexity and being programmable.

© 2020 The Author(s)

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Poster Presentation

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