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Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling.

, and . J. Appl. Math., (2023)

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Signal recovery adapted to a dictionary from non-convex compressed sensing., , , , and . Int. J. Comput. Sci. Math., 18 (3): 224-234 (2023)Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling., and . J. Appl. Math., (2023)The high-order block RIP for non-convex block-sparse compressed sensing., , , and . CoRR, (2020)Robust Low-Rank Matrix Recovery Fusing Local-Smoothness., , and . IEEE Signal Process. Lett., (2022)Robust principal component analysis via weighted nuclear norm with modified second-order total variation regularization., , , and . Vis. Comput., 39 (8): 3495-3505 (August 2023)Semi-tensor product-based one-bit compressed sensing., and . EURASIP J. Adv. Signal Process., 2023 (1): 112 (December 2023)Schatten Capped p Regularization for Robust Principle Component Analysis., , , , and . CGI (4), volume 14498 of Lecture Notes in Computer Science, page 28-40. Springer, (2023)1-Bit Compressed Sensing via an L1-TV Regularization Method., and . IEEE Access, (2022)Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery., , , , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (8): 3305-3319 (2022)Joint Multi-object Detection and Segmentation from an Untrimmed Video., , , , and . AIAI (1), volume 583 of IFIP Advances in Information and Communication Technology, page 317-329. Springer, (2020)