Nonnegative Discriminative Manifold Learning for Hyperspectral Data Dimension Reduction.
Lefei ZhangLiangpei ZhangDacheng TaoXin HuangBo DuPublished in: IScIDE (2013)
Keyphrases
- dimension reduction
- manifold learning
- random projections
- discriminative information
- feature extraction
- hyperspectral
- low dimensional
- high dimensional
- principal component analysis
- feature selection
- dimensionality reduction
- unsupervised learning
- latent space
- high dimensional data
- linear discriminant analysis
- cluster analysis
- feature space
- subspace learning
- manifold learning algorithm
- singular value decomposition
- principle component analysis
- high dimensionality
- locally linear embedding
- manifold structure
- head pose estimation
- discriminant analysis
- graph embedding
- machine learning
- semi supervised
- pattern recognition
- input space
- image reconstruction
- image classification
- lower dimensional
- nearest neighbor
- image data
- data points
- probabilistic model
- preprocessing
- face recognition
- data sets