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Classification-Driven Discrete Neural Representation Learning for Semantic Communications.

, , , , , , and . IEEE Internet Things J., 11 (9): 16061-16073 (May 2024)

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Bayesian Compressed Sensing with Heterogeneous Side Information., , , and . DCC, page 191-200. IEEE, (2016)Reference-based compressed sensing: A sample complexity approach., , , , and . ICASSP, page 4687-4691. IEEE, (2016)Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries., , , , , and . IEEE Trans. Computational Imaging, (2020)Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction., , , , , and . IEEE J. Sel. Areas Commun., 41 (1): 72-89 (2023)Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems., and . CoRR, (2022)Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging., and . CoRR, (2020)Sharper Bounds for Proximal Gradient Algorithms with Errors., , , and . CoRR, (2022)Communication-Efficient Algorithms For Distributed Optimization.. Carnegie Mellon University, USA, (2013)Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation., , , , and . IEEE Trans. Image Process., 26 (2): 751-764 (2017)Efficient Reconfigurable Mixed Precision ℓ 1 Solver for Compressive Depth Reconstruction., , , , and . J. Signal Process. Syst., 94 (10): 1083-1099 (2022)