Tensor Low-Rank Discriminant Embedding for Hyperspectral Image Dimensionality Reduction.
Yang-Jun DengHeng-Chao LiKun FuQian DuWilliam J. EmeryPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- low rank
- dimensionality reduction
- high dimensional data
- singular value decomposition
- graph embedding
- discriminant information
- manifold learning
- trace norm
- low dimensional
- high order
- high dimensional
- high dimensionality
- missing data
- principal component analysis
- pattern recognition
- input space
- data representation
- data points
- feature extraction
- kernel matrix
- feature selection
- semi supervised
- linear combination
- subspace learning
- linear discriminant analysis
- convex optimization
- dimensionality reduction methods
- original data
- principal components
- matrix factorization
- feature space
- dimension reduction
- higher order
- singular values
- neural network
- random projections
- metric learning
- image processing
- sparse representation
- kernel pca
- nearest neighbor
- face recognition