Sparse Linear Discriminant Analysis in Structured Covariates Space.
Sandra E. SafoQi LongPublished in: DSAA (2016)
Keyphrases
- linear discriminant analysis
- null space
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- discriminant features
- dimension reduction
- support vector
- high dimensional
- low dimensional
- feature space
- feature extraction
- small sample size
- high dimensional data
- linear discriminant
- support vector machine svm
- sparse representation
- discriminative information
- subspace methods
- fisher criterion
- lower dimensional
- logistic regression
- input space
- principal components
- random projections
- higher dimensional
- high dimensionality
- discriminant vectors
- machine learning
- generalized discriminant analysis
- scatter matrix
- projection matrix
- class separability
- theoretical guarantees
- sparse coding
- singular value decomposition
- regression model
- input image
- pattern recognition
- decision trees