Nonnegative discriminative manifold learning for hyperspectral data dimension reduction.
Lefei ZhangLiangpei ZhangDacheng TaoXin HuangGui-Song XiaPublished in: WHISPERS (2013)
Keyphrases
- dimension reduction
- manifold learning
- random projections
- discriminative information
- feature extraction
- hyperspectral
- principal component analysis
- unsupervised learning
- latent space
- low dimensional
- high dimensional
- feature selection
- dimensionality reduction
- high dimensional data
- subspace learning
- head pose estimation
- singular value decomposition
- manifold learning algorithm
- feature space
- linear discriminant analysis
- manifold embedding
- principle component analysis
- preprocessing
- cluster analysis
- high dimensionality
- semi supervised
- manifold structure
- dimensionality reduction methods
- feature vectors
- data mining
- graph embedding
- image segmentation
- microarray
- lower dimensional
- least squares
- image classification
- sparse representation
- data sets