Asymptotic Performance of Linear Discriminant Analysis with Random Projections.
Khalil ElkhalilAbla KammounA. Robert CalderbankTareq Y. Al-NaffouriMohamed-Slim AlouiniPublished in: ICASSP (2019)
Keyphrases
- random projections
- linear discriminant analysis
- dimensionality reduction
- dimension reduction
- principal component analysis
- discriminant analysis
- high dimensional data
- face recognition
- feature extraction
- feature space
- low dimensional
- high dimensional
- null space
- pattern recognition
- sparse representation
- projection matrix
- lower dimensional
- support vector
- support vector machine svm
- high dimensionality
- principal components
- scatter matrix
- singular value decomposition
- data points
- original data
- random sampling
- worst case
- text classification
- video sequences
- image processing
- feature selection