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Multi-User Adaptive Video Delivery Over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach., , , , , , и . IEEE Trans. Circuits Syst. Video Technol., 31 (2): 798-815 (2021)Joint Source and Flow Optimization for Scalable Video Multirate Multicast Over Hybrid Wired/Wireless Coded Networks., , , и . IEEE Trans. Circuits Syst. Video Technol., 21 (5): 550-564 (2011)Learned Progressive Image Compression With Dead-Zone Quantizers., , , , , и . IEEE Trans. Circuits Syst. Video Technol., 33 (6): 2962-2978 (июня 2023)Light Field Compression With Graph Learning and Dictionary-Guided Sparse Coding., , , , , , и . IEEE Trans. Multim., (2023)Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance., , , , , , и . CoRR, (2024)Group Re-Identification with Multi-grained Matching and Integration., , , , , , , и . CoRR, (2019)Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks., , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 3226-3244 (марта 2023)Fully Decomposable Compressive Sampling With Joint Optimization for Multidimensional Sparse Representation., , , , и . IEEE Trans. Signal Process., 66 (3): 603-616 (2018)Joint spectrum and power allocation in coded cooperative cognitive radio networks., , и . ICC, стр. 1596-1601. IEEE, (2014)Learning Causal Representations for Generalizable Face Anti Spoofing., , , , , и . ICASSP, стр. 1-5. IEEE, (2023)