Sparse Fisher's linear discriminant analysis.
Hasib SiddiquiHau HwangPublished in: Computational Imaging (2011)
Keyphrases
- linear discriminant analysis
- linear discriminant
- fisher criterion
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- class separability
- feature extraction
- discriminant features
- principal components analysis
- feature space
- null space
- high dimensional
- support vector machine svm
- sparse representation
- support vector
- high dimensional data
- dimension reduction
- small sample size
- discriminative information
- fisher discriminant analysis
- subspace analysis
- random projections
- subspace methods
- computer vision
- sparse coding
- scatter matrix
- low dimensional
- face images
- scatter matrices
- nearest neighbor
- pattern recognition
- data sets
- generalized discriminant analysis