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Publication Watermark: The Alumni Magazine of the Center for Homeland Defense(Monterey, CA: Naval Postgraduate School, 2024) Center for Homeland Defense and Security (CHDS)Publication Watermark: The Alumni Magazine of the Center for Homeland Defense(Monterey, CA: Naval Postgraduate School, 2022) Center for Homeland Defense and Security (CHDS)Publication Watermark: The Alumni Magazine of the Center for Homeland Defense(Monterey, CA: Naval Postgraduate School, 2023) Center for Homeland Defense and Security (CHDS)Publication Watermark: The Alumni Magazine of the Center for Homeland Defense(Monterey, CA: Naval Postgraduate School, 2024) Center for Homeland Defense and Security (CHDS)Publication Extended semi-supervised learning generative adversarial network(The Government of the United States of America, as represented by the Secretary of the Navy, Arlington, VA (US), 2024-11-05) Hahn, Andrew W.; Tummala, Murali; Scrofani, James; Office of Research and InnovationAn extended semi-supervised learning (ESSL) generative adversarial network (GAN) including metrics for evaluating training performance and a method for generating an estiÂmated label vector y by the extended semi-supervised learnÂing (ESSL) generative adversarial network (GAN) discrimiÂnator are described. Embodiments in accordance with the invention improve classification accuracy over convoluÂtional neural networks with improved synthetic imagery.
