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Low-rank matrix recovery via smooth rank function and its application in image restoration., , , , , , and . Int. J. Mach. Learn. Cybern., 9 (9): 1565-1576 (2018)Separable vocabulary and feature fusion for image retrieval based on sparse representation., , , , , , and . Neurocomputing, (2017)Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine., , and . SMC, page 2083-2088. IEEE, (2019)Fast smooth rank function approximation based on matrix tri-factorization., , , , , and . Neurocomputing, (2017)Rank adaptive atomic decomposition for low-rank matrix completion and its application on image recovery., , and . Neurocomputing, (2014)Robust discriminant low-rank representation for subspace clustering., , , , and . Soft Comput., 23 (16): 7005-7013 (2019)Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising., , , , , and . IEEE Trans. Image Processing, 27 (4): 1777-1792 (2018)Performance analysis of cooperative diversity in hierarchical heterogeneous radio access networks., , , and . IWCMC, page 1247-1252. ACM, (2010)Structural smoothness low-rank matrix recovery via outlier estimation for image denoising., , , , and . Multim. Syst., 28 (1): 241-255 (2022)Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine., , , and . Complex., (2020)