Chernoff Dimensionality Reduction-Where Fisher Meets FKT.
Jing PengGuna SeetharamanStefan A. RobilaAparna S. VardeWei FanPublished in: SDM (2011)
Keyphrases
- dimensionality reduction
- linear dimensionality reduction
- fukunaga koontz
- linear discriminant
- principal component analysis
- high dimensional data
- low dimensional
- pattern classification
- high dimensional
- feature extraction
- pattern recognition
- linear discriminant analysis
- high dimensionality
- data representation
- class separability
- feature space
- fisher criterion
- dimensionality reduction methods
- component analysis
- data points
- feature selection
- euclidean distance
- random projections
- principal components
- graph embedding
- subspace learning
- input space
- pac learning
- lower dimensional
- preprocessing step
- metric learning
- manifold learning
- singular value decomposition
- face recognition
- genetic algorithm
- neural network
- structure preserving
- discriminant analysis
- linear projection
- principal components analysis
- kernel pca
- intrinsic dimensionality
- dimension reduction
- supervised dimensionality reduction