Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction.
Jing PengGuna SeetharamanWei FanAparna S. VardePublished in: ACM Trans. Knowl. Discov. Data (2013)
Keyphrases
- dimensionality reduction
- fukunaga koontz
- linear dimensionality reduction
- linear discriminant
- principal component analysis
- low dimensional
- high dimensional
- pattern recognition
- feature extraction
- class separability
- linear discriminant analysis
- random projections
- neural network
- data representation
- dimensionality reduction methods
- fisher criterion
- component analysis
- subspace learning
- lower dimensional
- preprocessing step
- structure preserving
- manifold learning
- principal components
- high dimensional data
- data points
- input space
- high dimensionality
- feature space
- face recognition
- pattern classification
- discriminant analysis
- singular value decomposition
- feature selection
- linear projection
- dimension reduction
- database
- sparse representation
- data sets