Denoising by semi-supervised kernel PCA preimaging.
Toke Jansen HansenTrine Julie AbrahamsenLars Kai HansenPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- kernel pca
- denoising
- semi supervised
- image denoising
- laplacian eigenmaps
- principal component analysis
- kernel methods
- semi supervised learning
- spectral clustering
- kernel principal component analysis
- labeled data
- pairwise
- image processing
- total variation
- dimensionality reduction
- natural images
- kernel function
- feature space
- active learning
- input space
- manifold learning
- feature extraction
- kernel matrix
- unlabeled data
- unsupervised learning
- supervised learning
- face recognition
- linear discriminant analysis
- metric learning
- low rank
- principal components
- linear combination
- nearest neighbor
- support vector machine