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| Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis | Feb 7, 2019 | ClassificationClustering | —Unverified | 0 |
| Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI | Mar 12, 2024 | Hyperspectral image analysisHYPERVIEW Challenge | —Unverified | 0 |
| Segmented and Non-Segmented Stacked Denoising Autoencoder for Hyperspectral Band Reduction | May 19, 2017 | ClusteringDenoising | —Unverified | 0 |
| Spectral Unmixing Comparison with Sparse, Iterative and Mixed Integer Programming Models | Mar 21, 2025 | Hyperspectral image analysisHyperspectral Unmixing | —Unverified | 0 |
| Tech Report: A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing | Feb 11, 2021 | Hyperspectral image analysisSuperpixels | —Unverified | 0 |
| Theoretical and Practical Progress in Hyperspectral Pixel Unmixing with Large Spectral Libraries from a Sparse Perspective | Aug 14, 2024 | Hyperspectral image analysisHyperspectral Unmixing | —Unverified | 0 |
| Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images | Jun 23, 2019 | Dimensionality ReductionEarth Observation | —Unverified | 0 |
| Trends in deep learning for medical hyperspectral image analysis | Nov 27, 2020 | Deep LearningHyperspectral image analysis | —Unverified | 0 |
| HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis | Nov 26, 2023 | Contrastive LearningHyperspectral image analysis | —Unverified | 0 |