Supervised feature extraction method based on low-rank representation with preserving local pairwise constraints for hyperspectral images.
Seyyed Ali AhmadiNasser MehrshadSeyyed Mohammad RazaviPublished in: Signal Image Video Process. (2019)
Keyphrases
- hyperspectral images
- pairwise constraints
- semi supervised
- hyperspectral
- pairwise
- low rank
- semi supervised learning
- spectral clustering
- unsupervised learning
- labeled data
- remote sensing
- supervised learning
- loss function
- data representation
- feature selection
- unlabeled data
- document clustering
- machine learning
- metric learning
- learning algorithm
- nearest neighbor
- feature vectors
- pattern recognition