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A Coarse-to-Fine Optimization for Hyperspectral Band Selection.

, , , , and . IEEE Geosci. Remote. Sens. Lett., 16 (4): 638-642 (2019)

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In defense of iterated conditional mode for hyperspectral image classification., , and . ICME, page 1-6. IEEE Computer Society, (2014)Structure Preserving Transfer Learning for Unsupervised Hyperspectral Image Classification., , , and . IEEE Geosci. Remote. Sens. Lett., 14 (10): 1656-1660 (2017)ShuffleCount: Task-Specific Knowledge Distillation for Crowd Counting., , and . ICIP, page 999-1003. IEEE, (2021)Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks., , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 593-602. Springer, (2020)Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking., , and . IEEE Trans. Neural Netw. Learning Syst., 27 (6): 1279-1289 (2016)Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization., , and . IEEE Trans. Cybernetics, 46 (12): 2966-2977 (2016)Multilabel Aerial Image Classification With Unsupervised Domain Adaptation., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)A Coarse-to-Fine Optimization for Hyperspectral Band Selection., , , , and . IEEE Geosci. Remote. Sens. Lett., 16 (4): 638-642 (2019)Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis., , and . IEEE Trans. Geoscience and Remote Sensing, 54 (3): 1431-1445 (2016)DT-LET: Deep Transfer Learning by Exploring where to Transfer., , , and . CoRR, (2018)