Daniel A. Brooks, Olivier Schwander, F. Barbaresco, J. Schneider, M. Cord
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引用次数: 40
Abstract
This work builds temporal deep learning architectures for the classification of time-frequency signal representations on a novel model of simulated radar datasets. We show and compare the success of these models and validate the interest of temporal structures to gain on classification confidence over time.
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