Image normalization strategies for 3-D synthetic aperture sonar (SAS) is a relatively underexplored area for target classification leveraging convolutional neural networks (CNNs). For 3-D SAS data, ...
Abstract: This paper describes an in-memory computing architecture that combines full-precision computation for the first and last layers of a neural network while employing binary weights and input ...
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