Class-dependent two-dimensional linear discriminant analysis using two-pass recognition strategy.
Peter ViszlayMartin LojkaJozef JuhárPublished in: EUSIPCO (2014)
Keyphrases
- linear discriminant analysis
- class dependent
- locality preserving projections
- feature extraction
- face recognition
- discriminant analysis
- correlation filters
- recognition rate
- dimensionality reduction
- recognition accuracy
- principal component analysis
- handwriting recognition
- pattern recognition
- dimension reduction
- feature analysis
- support vector
- high dimensional data
- support vector machine svm
- feature space
- maximum margin
- subspace methods
- discriminative information
- principal components analysis
- high dimensional
- cost sensitive
- subspace learning
- manifold learning
- data sets
- recognition algorithm