Greedy Approximation of Kernel PCA by Minimizing the Mapping Error.
Peng ChengWanqing LiPhilip OgunbonaPublished in: DICTA (2009)
Keyphrases
- kernel pca
- gram matrix
- kernel methods
- laplacian eigenmaps
- kernel function
- high dimensional feature space
- principal component analysis
- dimensionality reduction
- kernel principal component analysis
- spectral clustering
- input space
- face recognition
- feature space
- kernel matrix
- decision trees
- feature extraction
- component analysis
- computer vision
- data sets
- linear combination
- support vector machine
- knn