Search Results - "Distributed deep joint source-channel coding"
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Source: GLOBECOM 2024 - 2024 IEEE Global Communications Conference. :1936-1941
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Authors: et al.
Source: 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Computer Vision and Pattern Recognition (cs.CV), Information Theory (cs.IT), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2310.04311
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Authors:
Source: IEEE International Conference on Communications (ICC)
Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Computer Vision and Pattern Recognition (cs.CV), Information Theory (cs.IT), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing
Access URL: http://arxiv.org/abs/2211.09920
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Authors: et al.
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Authors: et al.
Source: Scientific Reports; 5/10/2025, Vol. 15 Issue 1, p1-12, 12p
Subject Terms: VIDEO coding, ARTIFICIAL intelligence, TRANSCODING, IMAGE processing, INTERNET of things, DEEP learning
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Authors: et al.
Source: International Journal of Intelligent Systems; 12/10/2024, Vol. 2024, p1-14, 14p
Subject Terms: IMAGE transmission, DATA recovery, DEEP learning, CLASSIFICATION, SOURCE code
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Authors: et al.
Source: IEEE Transactions on Wireless Communications. :1-1
Subject Terms: Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering
Access URL: http://arxiv.org/abs/2411.12228
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Authors: et al.
Resource Type: eBook.
Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Networking / General, MATHEMATICS / Probability & Statistics / General, TECHNOLOGY & ENGINEERING / Engineering (General)
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