Semi-Supervised Kernel PCA
Christian WalderRicardo HenaoMorten MørupLars Kai HansenPublished in: CoRR (2010)
Keyphrases
- kernel pca
- semi supervised
- principal component analysis
- semi supervised learning
- kernel methods
- laplacian eigenmaps
- dimensionality reduction
- kernel principal component analysis
- kernel function
- labeled data
- face recognition
- feature space
- active learning
- manifold learning
- pairwise
- input space
- gram matrix
- kernel matrix
- spectral clustering
- subspace learning
- unlabeled data
- supervised learning
- feature extraction
- unsupervised learning
- metric learning
- linear discriminant analysis
- support vector machine
- pairwise constraints
- knn
- labeled and unlabeled data
- feature selection
- background knowledge
- data sets
- low rank
- support vector
- machine learning