Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction.
Michael G. RawsonTimothy DosterTegan EmersonPublished in: CoRR (2023)
Keyphrases
- hyperspectral
- reproducing kernel hilbert space
- remote sensing
- hyperspectral images
- multispectral
- infrared
- kernel methods
- loss function
- kernel function
- image data
- information content
- learning problems
- learning theory
- real valued
- gaussian process
- euclidean space
- special case
- data dependent
- distance measure
- high dimensional
- satellite images
- prediction model
- density estimation
- domain adaptation
- input space
- image processing
- dimensionality reduction
- linear model
- random projections
- kernel matrix
- image classification