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Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification.

, , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (7): 2501-2512 (2018)

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Spatial distribution preserving-based sparse subspace clustering for hyperspectral image., , , and . Int. J. Wavelets Multiresolution Inf. Process., 17 (2): 1940010:1-1940010:18 (2019)Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning., , , and . ICMLC, page 99-104. IEEE, (2018)Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery., , , , and . CCBD, page 7-12. IEEE Computer Society, (2016)Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification., , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (7): 2501-2512 (2018)Using Graph-Based Ensemble Learning to Classify Imbalanced Data., , , , , and . CYBCONF, page 1-6. IEEE, (2017)Distribution Preserving Network Embedding., , , and . ICASSP, page 3562-3566. IEEE, (2019)Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning., , , , , , and . Remote. Sens., 13 (23): 4774 (2021)Distribution preserving-based deep semi-NMF for data representation., , , , , and . Neurocomputing, (March 2023)Distribution Preserving Deep Semi-Nonnegative Matrix Factorization., , , and . SMC, page 1081-1086. IEEE, (2021)Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image., , , , and . ICMLC, page 167-172. IEEE, (2018)