Supervised covariance selection for linear discriminant analysis.
Hideitsu HinoNima ReyhaniPublished in: MLSP (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- supervised dimensionality reduction
- principal component analysis
- discriminant projection
- discriminant features
- dimension reduction
- feature extraction
- discriminant information
- support vector
- high dimensional data
- fisher criterion
- small sample size
- principal components analysis
- null space
- support vector machine svm
- unsupervised learning
- covariance matrix
- learning algorithm
- scatter matrices
- subspace methods
- semi supervised
- scatter matrix
- discriminative information
- generalized discriminant analysis
- feature space
- linear transformation
- linear discriminant
- subspace analysis
- least squares
- decision trees
- image processing
- feature selection
- signal processing
- supervised learning
- neural network
- data sets