Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment.
Fernando De la TorreMinh Hoai NguyenPublished in: CVPR (2008)
Keyphrases
- image alignment
- kernel principal component analysis
- unsupervised learning
- semi supervised
- supervised learning
- image registration
- kernel pca
- medical imaging
- feature extraction
- feature space
- kernel methods
- principal components
- feature selection
- discriminant analysis
- input space
- active appearance models
- learning algorithm
- kernel function
- active learning