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Denoising Hyperspectral Image With Non-i.i.d. Noise Structure., , , , и . IEEE Trans. Cybern., 48 (3): 1054-1066 (2018)Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network., , , , , и . IEEE Trans. Image Process., 27 (5): 2354-2367 (2018)Learning dictionary from signals under global sparsity constraint., , , и . Neurocomputing, (2013)Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification., , , , и . Neurocomputing, (2017)Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm., , , и . Data Knowl. Eng., (2013)Semi-supervised learning through adaptive Laplacian graph trimming., , , и . Image Vis. Comput., (2017)A recursive divide-and-conquer approach for sparse principal component analysis., , и . CoRR, (2012)Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision., , , , , и . Int. J. Comput. Vis., 121 (2): 183-208 (2017)Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds., , и . Pattern Recognit., 46 (8): 2175-2186 (2013)A new quality assessment criterion for nonlinear dimensionality reduction., , и . Neurocomputing, 74 (6): 941-948 (2011)