Kernel principal component analysis based on semi-supervised dimensionality reduction and its application on protein subnuclear localization.
Yaoting YueShunfang WangPublished in: CISP-BMEI (2017)
Keyphrases
- kernel principal component analysis
- semi supervised dimensionality reduction
- dimensionality reduction
- kernel pca
- discriminant analysis
- principal component analysis
- principal components
- semi supervised
- feature extraction
- preprocessing
- graph embedding
- kernel function
- high dimensional
- kernel methods
- feature space
- feature vectors
- linear discriminant analysis
- face recognition
- kernel matrix
- low dimensional
- high dimensional feature space
- classification method
- support vector machine svm
- labeled data
- active learning
- sparse representation
- input space
- subspace learning
- graph kernels
- computer vision