Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification.
Alok SharmaKuldip K. PaliwalGodfrey C. OnwuboluPublished in: Pattern Recognit. (2006)
Keyphrases
- pattern classification
- class dependent
- maximum margin
- principal component analysis
- feature extraction
- linear discriminant analysis
- locality preserving projections
- dimensionality reduction
- face recognition
- principal components analysis
- correlation filters
- pattern recognition
- kernel trick
- discriminant analysis
- principle component analysis
- principal components
- cost sensitive
- feature selection
- subspace methods
- kernel pca
- dimension reduction
- face images
- feature space
- covariance matrix
- high dimensional
- sparse representation
- image processing
- subspace learning
- decision trees
- neural network
- feature analysis
- discriminative information
- generative model
- signal processing
- active learning