Block Diagonal Linear Discriminant Analysis with Sequential Embedded Feature Selection.
Roger Pique-RegiAntonio OrtegaPublished in: ICASSP (5) (2006)
Keyphrases
- linear discriminant analysis
- block diagonal
- feature selection
- dimensionality reduction
- feature space
- support vector
- feature extraction
- dimension reduction
- principal component analysis
- face recognition
- kernel matrix
- semidefinite programming
- high dimensional data
- high dimensionality
- support vector machine svm
- high dimensional
- support vector machine
- machine learning
- low dimensional
- feature set
- text classification
- training samples
- feature subset
- classification accuracy
- unsupervised feature selection
- unsupervised learning
- multi class
- singular value decomposition
- kernel function
- manifold learning
- linear programming
- feature vectors
- similarity measure