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Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation.

, , , , и . IEEE Trans. Image Process., 26 (2): 751-764 (2017)

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Reference-based compressed sensing: A sample complexity approach., , , , и . ICASSP, стр. 4687-4691. IEEE, (2016)Bayesian Compressed Sensing with Heterogeneous Side Information., , , и . DCC, стр. 191-200. IEEE, (2016)Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries., , , , , и . IEEE Trans. Computational Imaging, (2020)Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction., , , , , и . IEEE J. Sel. Areas Commun., 41 (1): 72-89 (2023)Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems., и . CoRR, (2022)Sharper Bounds for Proximal Gradient Algorithms with Errors., , , и . CoRR, (2022)Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging., и . CoRR, (2020)Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation., , , , и . IEEE Trans. Image Process., 26 (2): 751-764 (2017)Efficient Reconfigurable Mixed Precision ℓ 1 Solver for Compressive Depth Reconstruction., , , , и . J. Signal Process. Syst., 94 (10): 1083-1099 (2022)The topology-overlap trade-off in retinal arteriole-venule segmentation., , , и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)