Abstract: Neural collapse describes the optimal learned representation features and their corresponding optimal classifier that globally minimizes the training loss in deep classifier neural networks.
Abstract: Phase errors induced by platform motion uncertainties significantly degrade image quality in near-field millimeter-wave synthetic aperture radar (SAR) imaging, thus limiting applications for ...
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