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Noise reduction of hyperspectral imagery based on nonlocal tensor factorization.

, , , и . IGARSS, стр. 1083-1086. IEEE, (2013)

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Fei Ye

Ying Ye

Ye Hu

Ye Chen

Wei Ye

 

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Visualization of hyperspectral imagery based on manifold learning., , , и . IGARSS, стр. 1979-1982. IEEE, (2013)Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery., и . WHISPERS, стр. 1-4. IEEE, (2012)Learning Misclassification Costs for Imbalanced Datasets, Application in Gene Expression Data Classification., , , , , и . ICIC (1), том 10954 из Lecture Notes in Computer Science, стр. 513-519. Springer, (2018)Multi-layer Cross-domain Non-negative Matrix Factorization for Cross-scene Dimension Reduction on Hyperspectral Images., , , , и . ICPRAI, том 12068 из Lecture Notes in Computer Science, стр. 547-554. Springer, (2020)Graph-Based Generative Adversarial Networks for Molecular Generation with Noise Diffusion., , , , и . ICBBB, стр. 1-6. ACM, (2024)Dual Dictionary Learning for Mining a Unified Feature Subspace between Different Hyperspectral Image Scenes., , , , и . IGARSS, стр. 1096-1099. IEEE, (2019)Learning misclassification costs for imbalanced classification on gene expression data., , , , , и . BMC Bioinform., 20-S (25): 681 (2019)Random Convolutional Neural Network Based on Distributed Computing with Decentralized Architecture., , , , , и . HCC, том 11956 из Lecture Notes in Computer Science, стр. 504-510. Springer, (2019)Cross-Domain Heterogeneous Hyperspectral Image Classification Based on Meta-Learning with Task-Adaptive Loss Function., , , и . WHISPERS, стр. 1-5. IEEE, (2023)Spectral-Spatial Joint Noise Estimation for Hyperspectral Images., , , , и . IGARSS, стр. 230-233. IEEE, (2019)