An improved kernel principal component analysis based on sparse representation for face recognition.
Wei HuangXiaohui WangYinghui ZhuGengzhong ZhengPublished in: KSII Trans. Internet Inf. Syst. (2016)
Keyphrases
- sparse representation
- kernel principal component analysis
- face recognition
- discriminant analysis
- kernel pca
- sparse coding
- dictionary learning
- feature extraction
- principal component analysis
- linear discriminant analysis
- face images
- gabor wavelets
- human faces
- random projections
- facial expressions
- local binary pattern
- subspace learning
- face detection
- dimensionality reduction
- face databases
- image classification
- principal components
- signal processing
- high dimensional
- face verification
- facial features
- high dimensional data
- subspace methods
- data sets
- blind source separation
- feature selection
- metric learning
- low rank
- neural network
- feature vectors
- image retrieval
- feature space
- support vector
- clustering algorithm