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Quannet: Joint Image Compression and Classification Over Channels with Limited Bandwidth.

, , and . ICME, page 338-343. IEEE, (2019)

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Quannet: Joint Image Compression and Classification Over Channels with Limited Bandwidth., , and . ICME, page 338-343. IEEE, (2019)End-to-end optimized image compression for machines, a study., , , , and . CoRR, (2020)A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification., , , and . CoRR, (2023)An End-to-End Learning Architecture for Efficient Image Encoding and Deep Learning., , and . EUSIPCO, page 691-695. IEEE, (2021)End-to-End optimized image compression for machines, a study., , , , and . DCC, page 163-172. IEEE, (2021)Hierarchical Training for Distributed Deep Learning Based on Multimedia Data over Band-Limited Networks., , and . ICIP, page 2871-2875. IEEE, (2022)Detection of a Signal in Colored Noise: A Random Matrix Theory Based Analysis., , , and . GLOBECOM, page 1-6. IEEE, (2019)Eigenvalue-Based Detection of a Signal in Colored Noise: Finite and Asymptotic Analyses., , , and . IEEE Trans. Inf. Theory, 66 (10): 6413-6433 (2020)End-to-End Image Classification and Compression With Variational Autoencoders., , and . IEEE Internet Things J., 9 (21): 21916-21931 (2022)Improving Deep Learning Classification of JPEG2000 Images Over Bandlimited Networks., and . ICASSP, page 4062-4066. IEEE, (2020)