Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning.
Carlos M. AlaízMichaël FanuelJohan A. K. SuykensPublished in: CoRR (2016)
Keyphrases
- semi supervised learning
- kernel pca
- semi supervised
- unlabeled data
- kernel methods
- labeled data
- dimensionality reduction
- principal component analysis
- feature space
- supervised learning
- kernel matrix
- unsupervised learning
- face recognition
- machine learning
- learning problems
- spectral clustering
- kernel function
- input space
- active learning
- text categorization
- training data
- feature extraction
- linear discriminant analysis
- metric learning
- support vector machine
- transfer learning
- support vector
- text mining
- least squares
- training set
- reinforcement learning
- image processing
- learning algorithm