Feature Extraction Using Class-Augmented Principal Component Analysis (CA-PCA).
Myoung Soo ParkJin Hee NaJin Young ChoiPublished in: ICANN (2) (2006)
Keyphrases
- principal component analysis
- feature extraction
- dimensionality reduction
- dimension reduction
- principal components
- linear discriminant analysis
- face recognition
- independent component analysis
- discriminant analysis
- low dimensional
- fisher linear discriminant analysis
- feature space
- covariance matrix
- face images
- singular value decomposition
- cellular automata
- lower dimensional
- linear feature extraction
- discriminant information
- subspace learning
- negative matrix factorization
- pattern recognition
- high dimensional data
- texture analysis
- kernel principal component analysis
- principle component analysis
- locality preserving projections
- subspace methods
- feature vectors
- kernel methods
- scatter matrix
- preprocessing
- tensor analysis
- scatter matrices
- kernel pca
- gabor wavelets
- image classification
- random projections
- face databases
- image processing