PCA-CIA Ensemble-based Feature Extraction for Bio-Key Generation.
Aeyoung KimChangda WangSeung-Hyun SeoPublished in: KSII Trans. Internet Inf. Syst. (2020)
Keyphrases
- feature extraction
- principal component analysis
- dimensionality reduction
- face recognition
- dimension reduction
- principle component analysis
- feature space
- principal components analysis
- linear discriminant analysis
- ensemble methods
- extracting features
- image classification
- ensemble learning
- pattern recognition
- feature selection
- principal components
- wavelet transform
- preprocessing
- discriminant analysis
- neural classifier
- feature vectors
- feature set
- image processing
- training set
- neural network
- random forest
- high dimensional
- lower dimensional
- random forests
- frequency domain
- kernel principal component analysis
- manifold learning
- local binary pattern
- base classifiers
- kernel pca
- discriminant projection
- training data
- pattern classification
- face images
- kernel methods
- covariance matrix
- linear feature extraction
- fisher linear discriminant
- low dimensional
- gabor features
- dimensionality reduction methods
- classifier ensemble
- iris recognition
- independent component analysis
- facial expression recognition
- gabor filters
- benchmark datasets
- singular value decomposition
- extracted features
- facial expressions