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Found 4 papers, 1 papers with code
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
Incomplete multi-view clustering presents significant challenges due to missing views.
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification
Quantifying the certainty of model predictions is crucial for the safe usage of predictive models, and this limitation restricts their application in critical contexts where the cost of prediction errors is significant.
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification
To aggregate the multiview information, a fully-convolutional SED with a U-shape in spectral dimension is introduced to extract a multiview feature map.
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification
Using QSSN as the building block, we propose an end-to-end quantum-inspired spectral-spatial pyramid network (QSSPN) for HSI feature extraction and classification.
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