A Locality Preserving Approach for Kernel PCA.
Yin ZhengBin ShenXiaofeng YangWanli MaBao-Di LiuYu-Jin ZhangPublished in: ICIG (1) (2015)
Keyphrases
- kernel pca
- locality preserving
- kernel trick
- face recognition
- dimensionality reduction
- kernel methods
- principal component analysis
- kernel function
- spectral clustering
- feature space
- input space
- kernel matrix
- linear discriminant analysis
- feature extraction
- manifold learning
- manifold structure
- support vector machine
- learning tasks
- distance measure
- high dimensional
- latent semantic indexing
- least squares
- data analysis
- high dimensional feature space
- pattern recognition