High-dimensional image data feature extraction by double discriminant embedding.
Maryam ImaniHassan GhassemianPublished in: Pattern Anal. Appl. (2017)
Keyphrases
- discriminant embedding
- image data
- high dimensional
- manifold learning
- pattern classification
- feature extraction
- small sample size
- graph embedding
- low dimensional
- face recognition
- dimensionality reduction
- discriminant information
- data points
- locality preserving
- feature space
- similarity search
- linear discriminant analysis
- metric space
- high dimensional data
- image database
- dimension reduction
- nearest neighbor
- principal component analysis
- input space
- embedding space
- high dimensionality
- microarray data
- nearest neighbor search
- input data
- discriminant analysis
- sample size
- data representation
- visual data
- dimensional data
- kernel function
- locality preserving projections