A non-negative sparse semi-supervised dimensionality reduction algorithm for hyperspectral data.
Xuesong WangYang GaoYuhu ChengPublished in: Neurocomputing (2016)
Keyphrases
- hyperspectral data
- semi supervised
- random projections
- dimensionality reduction
- high dimensional
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- high dimensionality
- lower dimensional
- remote sensing
- unsupervised learning
- labeled data
- pairwise
- multispectral
- infrared
- information content
- dimension reduction
- feature space
- low dimensional
- sparse representation
- active learning
- high dimensional data
- linear discriminant analysis
- supervised learning
- random sampling
- principal component analysis
- principal components
- data points
- pattern recognition
- image reconstruction
- data compression
- spatial resolution
- document clustering
- computer vision