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Similarity Matrix Construction Methods in Sparse Subspace Clustering Algorithm for Hyperspectral Imagery Clustering.

Q. Yan, Y. Ding, J. Zhang, L. Xun, и C. Zheng. ICIC (1), том 10361 из Lecture Notes in Computer Science, стр. 695-700. Springer, (2017)

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Yun Ding

Ding Ding

Другие публикации лиц с тем же именем

Class Probability Propagation of Supervised Information Based on Sparse Subspace Clustering for Hyperspectral Images.Q. Yan, Y. Ding, Y. Xia, Y. Chong, и C. Zheng. Remote. Sens., 9 (10): 1017 (2017)Graph-based semi-supervised learning: A review.Y. Chong, Y. Ding, Q. Yan, и S. Pan. Neurocomputing, (2020)Diversity-Connected Graph Convolutional Network for Hyperspectral Image Classification.Y. Ding, Y. Chong, S. Pan, и C. Zheng. IEEE Trans. Geosci. Remote. Sens., (2023)Adaptive Sampling Toward a Dynamic Graph Convolutional Network for Hyperspectral Image Classification.Y. Ding, J. Feng, Y. Chong, S. Pan, и X. Sun. IEEE Trans. Geosci. Remote. Sens., (2022)Assessing the similarity of ligand binding conformations with the Contact Mode Score.Y. Ding, Y. Fang, J. Moreno, J. Ramanujam, M. Jarrell, и M. Brylinski. Comput. Biol. Chem., (2016)CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images.R. Cao, L. Ning, C. Zhou, P. Wei, Y. Ding, D. Tan, и C. Zheng. Sensors, 23 (21): 8739 (октября 2023)Efficient bond function basis set for pi-pi interaction energies.Y. Ding, Y. Mei, J. Zhang, и F. Tao. J. Comput. Chem., 29 (2): 275-279 (2008)Sparse and Low-Rank Representation With Key Connectivity for Hyperspectral Image Classification.Y. Ding, Y. Chong, и S. Pan. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Counting humps in Motzkin paths.Y. Ding, и R. Du. Discret. Appl. Math., 160 (1-2): 187-191 (2012)Spatial-Spectral Unified Adaptive Probability Graph Convolutional Networks for Hyperspectral Image Classification.Y. Ding, Y. Chong, S. Pan, Y. Wang, и C. Nie. IEEE Trans. Neural Networks Learn. Syst., 34 (7): 3650-3664 (июля 2023)

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Yun Ding

Yun Ding

Yun Ding

Yun Ding

Ding Ding

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