-norm based PCA for feature extraction.
Pu HuangQiaolin YeFanlong ZhangGuowei YangWei ZhuZhangjing YangPublished in: Inf. Sci. (2021)
Keyphrases
- feature extraction
- principal component analysis
- principal components analysis
- face recognition
- dimension reduction
- dimensionality reduction
- principle component analysis
- feature space
- pattern recognition
- linear discriminant analysis
- image classification
- extracting features
- robust principal component analysis
- kernel principal component analysis
- feature representation
- discriminant projection
- feature selection
- feature vectors
- feature set
- image processing
- gabor features
- discriminant analysis
- preprocessing
- pattern classification
- low dimensional
- neural classifier
- wavelet transform
- frequency domain
- gabor filters
- texture analysis
- lower dimensional
- kernel pca
- face images
- covariance matrix
- texture features
- feature extractor
- computer vision
- principal components
- independent components analysis
- support vector machine svm
- support vector
- dimensionality reduction methods
- manifold learning